CN108035941A - Accumulator Preliminary pressure-filled exception on-line detecting system and method based on big data - Google Patents
Accumulator Preliminary pressure-filled exception on-line detecting system and method based on big data Download PDFInfo
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- CN108035941A CN108035941A CN201711373666.1A CN201711373666A CN108035941A CN 108035941 A CN108035941 A CN 108035941A CN 201711373666 A CN201711373666 A CN 201711373666A CN 108035941 A CN108035941 A CN 108035941A
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- 238000000034 method Methods 0.000 title abstract description 12
- 238000006073 displacement reaction Methods 0.000 claims abstract description 34
- 238000001514 detection method Methods 0.000 claims description 14
- 238000010998 test method Methods 0.000 claims description 9
- 239000007788 liquid Substances 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 208000002925 dental caries Diseases 0.000 claims description 5
- 238000004146 energy storage Methods 0.000 claims description 5
- 239000012530 fluid Substances 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 4
- 230000008676 import Effects 0.000 claims 1
- 238000005259 measurement Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 239000007789 gas Substances 0.000 description 16
- 238000009825 accumulation Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 239000011261 inert gas Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F15—FLUID-PRESSURE ACTUATORS; HYDRAULICS OR PNEUMATICS IN GENERAL
- F15B—SYSTEMS ACTING BY MEANS OF FLUIDS IN GENERAL; FLUID-PRESSURE ACTUATORS, e.g. SERVOMOTORS; DETAILS OF FLUID-PRESSURE SYSTEMS, NOT OTHERWISE PROVIDED FOR
- F15B19/00—Testing; Calibrating; Fault detection or monitoring; Simulation or modelling of fluid-pressure systems or apparatus not otherwise provided for
- F15B19/005—Fault detection or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F15—FLUID-PRESSURE ACTUATORS; HYDRAULICS OR PNEUMATICS IN GENERAL
- F15B—SYSTEMS ACTING BY MEANS OF FLUIDS IN GENERAL; FLUID-PRESSURE ACTUATORS, e.g. SERVOMOTORS; DETAILS OF FLUID-PRESSURE SYSTEMS, NOT OTHERWISE PROVIDED FOR
- F15B2211/00—Circuits for servomotor systems
- F15B2211/80—Other types of control related to particular problems or conditions
- F15B2211/857—Monitoring of fluid pressure systems
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F15—FLUID-PRESSURE ACTUATORS; HYDRAULICS OR PNEUMATICS IN GENERAL
- F15B—SYSTEMS ACTING BY MEANS OF FLUIDS IN GENERAL; FLUID-PRESSURE ACTUATORS, e.g. SERVOMOTORS; DETAILS OF FLUID-PRESSURE SYSTEMS, NOT OTHERWISE PROVIDED FOR
- F15B2211/00—Circuits for servomotor systems
- F15B2211/80—Other types of control related to particular problems or conditions
- F15B2211/87—Detection of failures
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Fluid-Pressure Circuits (AREA)
- Supply Devices, Intensifiers, Converters, And Telemotors (AREA)
Abstract
The invention belongs to technical field of hydraulic pressure, and in particular to a kind of accumulator Preliminary pressure-filled exception on-line detecting system and method based on big data.The accumulator Preliminary pressure-filled exception on-line detecting system based on big data, including power source, accumulator, actuator, big data system and controller, the power source is connected power source and accumulator by auxiliary, the inlet and outlet of actuator and the outlet of accumulator are connected by auxiliary, pressure sensor is installed on the outlet port of accumulator, controller is acquired the data of pressure sensor, temperature sensor and displacement sensor, filters, and sends processed data to big data system.Its advantage is：Manual operation can be reduced, the downtime of system is reduced, realizes remote auto monitoring, improves the reliability of system.
Description
Technical field
The invention belongs to technical field of hydraulic pressure, and in particular to a kind of accumulator Preliminary pressure-filled based on big data is extremely online
Detecting system and method.
Background technology
Hydraulic accumulator is commonly used energy-storage travelling wave tube in hydraulic system, and the accumulation of its energy is realized by compressed gas
, the leakproofness of air cavity is the important prerequisite for the reliability for determining accumulator.Opened so accumulator is connected in hydraulic system
, it is necessary to which the preliminary filling atmospheric pressure value of regular check accumulator, prevents accumulator air leakage failure after beginning work.Common solution is to stop
The work of locking system, manually by pressure gauge be connected to accumulator go out inlet and outlet, then the pressure medium of accumulator is slowly bled off,
Until the pressure value of pressure gauge drops suddenly, the pressure value before pressure flex point is preacceleration inflation force value.But this method can only
Manual testing is carried out in the case of system-down, the system for that cannot shut down, such a method does not apply to simultaneously.
System includes hydraulic pump, accumulator, pressure sensor, controller etc. in CN103206416A.Controller needs to adopt
Collect the pressure value of accumulator outlet, then carry out data filtering, and calculate the speed of pressure change, when rate of pressure change is more than
When given threshold, it is believed that the hydraulic pressure detected has passed through preacceleration inflation force value, it is possible to using this pressure value point as near
As preacceleration inflation force value.The system is applied to automobile hydraulic system, is to the preliminary filling of accumulator in system-down stress-relief process
Pressure value is detected.
The Preliminary pressure-filled monitoring method of accumulator in CN104514771A is pressure when discharging or pressurize by accumulator
The catastrophe for being worth rate of change carrys out the precharge of gas pressure value of approximate detection accumulator.The same CN103206416A of the test method
It is similar, system elder generation is also needed under shutdown status, then carries out the detection of Preliminary pressure-filled again；
CN102808814A describes the hardware system composition and its test method of a set of accumulator Preliminary pressure-filled detection.Accumulator
Preliminary pressure-filled detecting system contain hydraulic accumulator, pass in and out oil control valve, control valve of draining the oil, into fuel-displaced operating valve, drain the oil it is dynamic
Make valve, pressure sensor etc., realize the on-line checking of accumulator Preliminary pressure-filled.Oil control valve is passed in and out in test hardware system and is put
Oil control valve is safety valve, is solenoid valve into fuel-displaced operating valve and operating valve of draining the oil.Major control is into fuel-displaced in test method
Operating valve and operating valve of draining the oil realize the pressurising and release of accumulator, and the Preliminary pressure-filled to accumulator is realized during release
Value is detected, this detection method, which needs system-down to drain the oil, can just detect whether accumulator precharge of gas pressure is normal.
What is detected in CN1869626A patents is the internal leakage of hydraulic system, is not the Preliminary pressure-filled for detecting accumulator.
The field of CN104295540A Patent designs application is high-voltage circuitbreaker hydraulic control mechanism, and content, which contains, to be carried
The accumulator and its internal mechanical structure of gas leakage alarm.The mode of energy storage pressure is detected in patent in oil pocket pressure
In the case of constant, if gas leakage can cause the bearing capacity of air cavity to be lower, piston is in order to maintain original system pressure
Power, piston can further move compressed gas, maintain original pressure value.When the feeler lever 4 connected on piston while move closer to
During magnet proximity switch, magnet proximity switch is triggered, and illustrates that air cavity gas have leaked.Test method described in this patent can
Leaked, but can be used only in the system of pressure oscillation very little with effective monitoring accumulator gas in the case of non-stop-machine, at the same time
Need to transform hydraulic accumulator inside, effective oil pocket volume inside accumulator can be reduced while increasing cost.
The content of the invention
In order to compensate for the shortcomings of the prior art, the present invention provides one kind to solve current Accumulator on Hydraulic System preacceleration inflation
The accumulator Preliminary pressure-filled exception on-line detecting system and method based on big data that must shut down detection of power.
The present invention is achieved through the following technical solutions：
Accumulator Preliminary pressure-filled exception on-line detecting system based on big data, including power source, accumulator, actuator, big number
According to system and controller, it is characterised in that the power source is connected power source and accumulator by auxiliary, actuator
The outlet of inlet and outlet and accumulator is connected by auxiliary, and pressure sensor is installed on the outlet port of accumulator, control
Device is acquired the data of pressure sensor, temperature sensor and displacement sensor, filters, and is sent to big data system
Processed data, the output flow of accumulator are used for detecting what the shift value of actuator obtained indirectly by displacement sensor,
Displacement sensor can with detection of straight lines displacement or angular displacement data, by the geometric parameter of displacement sensor combination actuator,
The flow that accumulator enters actuator, the data that big data System memory controller is sent are calculated, and can utilize certainly
The algorithm of body calculates energy storage pressure, temperature, the relation between actuator working status, and power source working time.
Further, the type of the accumulator is piston accumulator, diaphragm accumulator or bladder accumulator, accumulation of energy
Device is divided into two cavitys, is respectively intended to filling gas and liquid, wherein the outlet of liquid chamber and power source and actuator into
Mouth is directly or indirectly linked together by auxiliary.
Further, the temperature sensor indirect detection accumulator air cavity gas temperature, temperature sensor are patch type temperature
Sensor is spent, measures the outside wall temperature of accumulator, and big data system is saved in after temperature data is read by controller, is used
To correct influence of the temperature to accumulator air cavity pressure.
Further, the controller is Kalman filter, firstorder filter or other filtering algorithms to the value that collects
It is filtered, and can be stored and read data by big data system.
Further, the power source is possesses the pump housing that hydraulic power supply is provided to accumulator.
Accumulator Preliminary pressure-filled exception online test method based on big data, comprises the following steps：1. in power source not
In the case of accumulator and actuator output power, when controller detects accumulator in same ambient temperature range,
When actuator have passed through identical displacement, history that the pressure change of accumulator recorded with big data system is under normal circumstances
For data there are during deviation, big data system thinks that the Preliminary pressure-filled of accumulator breaks down；
2. in the case where power source is to accumulator output pressure energy, when actuator does not have displacement output, when controller detects
Accumulator is in same ambient temperature range, during the pressure change of identical accumulator, power source working time and big data
For the data of the history that system recorded under normal circumstances there are during deviation, big data system thinks that the Preliminary pressure-filled of accumulator occurs
Failure.
The beneficial effects of the invention are as follows：Accumulator Preliminary pressure-filled exception on-line detecting system of the present invention based on big data and
The hydraulic accumulator preacceleration inflation force value that method analyzes the detection of big data system real-time online by controller whether there is exception, can
To reduce manual operation, the downtime of system is reduced, realizes remote auto monitoring, improve the reliability of system.
Brief description of the drawings
The present invention is further illustrated below in conjunction with the accompanying drawings.
Attached drawing 1 is catenation principle schematic diagram of the invention.
In figure, 1 power source, 2 accumulators, 3 actuators, 4 pressure sensors, 5 temperature sensors, 6 displacement sensors, 7 is big
Data system, 8 controllers, 9 auxiliaries.
Embodiment
Attached drawing 1 is a kind of specific embodiment of the invention.Accumulator Preliminary pressure-filled exception of the invention based on big data exists
Line detecting system, including power source, accumulator, actuator, big data system and controller, it is characterised in that the power source
Power source and accumulator are connected by auxiliary, the inlet and outlet of actuator have been connected with the outlet of accumulator by auxiliary
Come, pressure sensor is installed on the outlet port of accumulator, and controller passes pressure sensor, temperature sensor and displacement
The data of sensor are acquired, filter, and send processed data to big data system, and the output flow of accumulator leads to
Displacement sensor is crossed to be used for detecting what the shift value of actuator obtained indirectly, displacement sensor can with detection of straight lines displacement or
Angular displacement data, by the geometric parameter of displacement sensor combination actuator, are calculated the stream that accumulator enters actuator
Amount, big data System memory controller send data, and can utilize itself algorithm calculate energy storage pressure, temperature,
Relation between actuator working status, and power source working time.
Further, the type of the accumulator is piston accumulator, diaphragm accumulator or bladder accumulator, accumulation of energy
Device is divided into two cavitys, is respectively intended to filling gas and liquid, wherein the outlet of liquid chamber and power source and actuator into
Mouth is directly or indirectly linked together by auxiliary.
Further, the temperature sensor indirect detection accumulator air cavity gas temperature, temperature sensor are patch type temperature
Sensor is spent, measures the outside wall temperature of accumulator, and big data system is saved in after temperature data is read by controller, is used
To correct influence of the temperature to accumulator air cavity pressure.
Further, the controller is Kalman filter, firstorder filter or other filtering algorithms to the value that collects
It is filtered, and can be stored and read data by big data system.
Further, the power source is possesses the pump housing that hydraulic power supply is provided to accumulator.
Accumulator Preliminary pressure-filled exception online test method based on big data, comprises the following steps：1. work as power source 1 not
, can be indirectly by 8 geometric parameter of displacement data and actuator when the displacement sensor 6 of work and actuator 8 has data output
The fluid output quantity of accumulator 2 is calculated, in the case of 2 Preliminary pressure-filled of accumulator is normal, pressure change at identical temperature
Identical scope, the same flow of meeting the output phase, if abnormal situation, identical temperature range occurs in 2 Preliminary pressure-filled of accumulator
Under uniform pressure change, the flow that accumulator 2 exports occurs difference, and is finally reflected in the displacement of actuator 8
Difference, in this, as the basis for estimation 1 of accumulator 2 Preliminary pressure-filled exception；
2. when power source 1 works and the displacement sensor of actuator 86 is without data output, the work of power source 1 can be passed through
Time and power source geometric parameter calculate the input quantity of 2 fluid of accumulator indirectly, in the normal situation of 2 Preliminary pressure-filled of accumulator
Under, the pressure change under same temperature ranges stated, the working time of power source 1 is t1, when 2 Preliminary pressure-filled of accumulator has abnormal feelings
Under condition, the pressure change under same temperature ranges stated, the working time of power source 2 can have relatively large deviation with t1, in this, as accumulation of energy
There may be abnormal basis for estimation 2 for 2 Preliminary pressure-filled of device.
The detection method has charge and discharge to control process available for all containing power source 1, accumulator, and accumulator, and holds
Row mechanism, power source and sensor can directly or indirectly measure the output of accumulator group 2 and the hydraulic system of input flow rate.
The type of accumulator 2 can be piston accumulator, diaphragm accumulator and bladder accumulator.Accumulator is divided into
Two cavitys, two cavitys are separated by piston and other seals, diaphragm of rubber and air bag, one of cavity liquid filling body
Pressure medium, can be oil, fat, aqueous mixtures；Another cavity can filling high pressure gas, can be high-purity nitrogen, or its
Its high-purity inert gas.
Power source 1 can be hydraulic pump, and pumping can be oil, fat, aqueous mixtures or other fluid media (medium)s.Power source 1
The rate-of flow size of output can be calculated by its working time.Can be by power source 1 and storage by the auxiliaries such as pipeline 9
Energy device 2 connects, and the pressure medium that power source 1 exports can be transported in accumulator 2 and store into pressure energy.It is auxiliary by controlling
Element in part 9, it is possible to achieve pressure energy is discharged into actuator 3 in accumulator 9.
The inlet and outlet of actuator 3 and the outlet of accumulator 2 are connected by auxiliary 9, and actuator 3 is 1 power of power source
The final purpose of output, actuator 3 can be linear motion or rotary motion.But the geometric parameters of actuator
What number was to determine, it so can go out to flow out accumulator 2 by 6 indirect detection of displacement sensor, the flow for flowing into actuator 3 is big
It is small.If the geometric parameter of actuator 3 is change, flowmeter is needed to record the flow value of 3 entrance of actuator.
Auxiliary 9 is the auxiliary elements such as hose in hydraulic system, hard tube, connector, valve, it is used for unicom when acting on main
Interface between each parts.
Pressure sensor 4 can be mounted on the outlet port of accumulator 2, for detecting pressure medium in accumulator 2
Pressure change, while can also measure indirectly the pressure value inside 2 air cavity of accumulator change.
The effect of temperature sensor 5 is the influence in order to correct temperature to gas pressure change.Because varying environment temperature
Under, can cause accumulator 5 fill same gas in the case of the Preliminary pressure-filled that shows it is different, temperature sensor 5 is exactly conduct
The variable factors that preacceleration inflation force value judges.So influence factor of the temperature as 2 Preliminary pressure-filled of accumulator, it is necessary to be considered
Come in.
Controller 8 can be the electric controling elements such as PLC, microcontroller, computer, and inside can program, and realize to dynamic
The start and stop in power source 1 are controlled, and the data of pressure sensor 4, temperature sensor 5, displacement sensor 6 are acquired, filter,
And processed data can be sent to big data system 7.
Big data system 7 can be used for the data that storage control 8 is sent, and the algorithm of itself can be utilized to calculate and stored
Can device pressure, temperature, the relation between actuator working status, and 1 working time of power source.Big data system 7 can root
The data obtained according to itself, carry out data analysis, and can be evaluated and corrected to having analyzed data using new data.
During this period, it is necessary to which the Preliminary pressure-filled for manually determining accumulator 2 is no failure appearance.Preferably by instructing with scheduling to last one year cyclic vibration
After practicing big data system 7, big data system 7 starts possessed self-diagnostic function, 7 on-line checking learning cycle of big data system compared with
It is long.If had ready conditions, system can also be placed under the adjustable experimental situation of temperature and do system pressure experiment, pass through experiment
The training of method quick obtaining big data system 7 learn required data., it is necessary to which hand inspection confirms during testing herein
2 precharge of gas of accumulator does not leak.When hydraulic system is directly being run in equipment, big data system 7 is direct
It can carry out the real-time online Determination of accumulator Preliminary pressure-filled.
The present invention is not limited to the above-described embodiments, anyone should learn the present invention enlightenment under make with the present invention
With same or like technical solution, each fall within protection scope of the present invention.
The present invention be not described in detail technology, shape, construction part be known technology.
Claims (8)
1. the accumulator Preliminary pressure-filled exception on-line detecting system based on big data, including it is power source, accumulator, actuator, big
Data system and controller, it is characterised in that the power source is connected power source and accumulator by auxiliary, actuator
The outlets of inlet and outlet and accumulator connected by auxiliary, pressure sensor is installed on the outlet port of accumulator, control
Device processed is acquired the data of pressure sensor, temperature sensor and displacement sensor, filters, and is sent out to big data system
Processed data are sent, the output flow of accumulator is obtained indirectly by displacement sensor for detecting the shift value of actuator
, displacement sensor can pass through the geometric parameters of displacement sensor combination actuator with detection of straight lines displacement or angular displacement data
Number, is calculated the flow that accumulator enters actuator, the data that big data System memory controller is sent, and can utilize
The algorithm of itself calculates energy storage pressure, temperature, the relation between actuator working status, and power source working time.
2. the accumulator Preliminary pressure-filled exception on-line detecting system according to claim 1 based on big data, it is characterized in that：
The type of the accumulator is piston accumulator, diaphragm accumulator or bladder accumulator, and accumulator is divided into two cavitys,
Be respectively intended to filling gas and liquid, wherein the import of the outlet of liquid chamber and power source and actuator by auxiliary directly or
Person is indirectly connected with together.
3. the accumulator Preliminary pressure-filled exception on-line detecting system according to claim 1 based on big data, it is characterized in that：
The temperature sensor indirect detection accumulator air cavity gas temperature, temperature sensor are patch type temperature sensor, and measurement stores
The outside wall temperature of energy device, and big data system is saved in after temperature data is read by controller, for correcting temperature to storing
The influence of energy device air cavity pressure.
4. the accumulator Preliminary pressure-filled exception on-line detecting system according to claim 1 based on big data, it is characterized in that：
The controller is filtered the value collected for Kalman filter, firstorder filter or other filtering algorithms, and can
To be stored and be read data by big data system.
5. the accumulator Preliminary pressure-filled exception on-line detecting system according to claim 1 based on big data, it is characterized in that：
The power source is possesses the pump housing that hydraulic power supply is provided to accumulator.
6. the accumulator Preliminary pressure-filled exception online test method based on big data, it is characterised in that include following steps：1. dynamic
In the case that power source does not export power to accumulator and actuator, when controller detects accumulator in same environment temperature model
In enclosing, when actuator have passed through identical displacement, the positive reason of history that pressure change and the big data system of accumulator recorded
For data under condition there are during deviation, big data system thinks that the Preliminary pressure-filled of accumulator breaks down；
2. in the case where power source is to accumulator output pressure energy, when actuator does not have displacement output, when controller detects
Accumulator is in same ambient temperature range, during the pressure change of identical accumulator, power source working time and big data
For the data of the history that system recorded under normal circumstances there are during deviation, big data system thinks that the Preliminary pressure-filled of accumulator occurs
Failure.
7. the accumulator Preliminary pressure-filled exception online test method according to claim 6 based on big data, its feature exist
In, can be indirectly by displacement data and holding when the power source does not work and the displacement sensor of actuator has data output
Row device geometric parameter calculates the fluid output quantity of accumulator, in the case of accumulator Preliminary pressure-filled is normal, identical temperature
The identical scope of lower pressure change, the same flow of meeting the output phase are identical if abnormal situation occurs in accumulator Preliminary pressure-filled
Uniform pressure change under temperature range, difference occurs in the flow of accumulator output, and is finally reflected the displacement in actuator
It is upper different, in this, as the basis for estimation 1 of accumulator Preliminary pressure-filled exception.
8. the accumulator Preliminary pressure-filled exception online test method according to claim 6 based on big data, its feature exist
In when the displacement sensor of power source work and actuator does not have data output, by working time of power source and dynamic
Power source geometric parameter calculates the input quantity of fluid accumulator, in the case of accumulator Preliminary pressure-filled is normal, phase equality of temperature indirectly
The pressure change under scope is spent, the working time of power source is t1, in the case that accumulator Preliminary pressure-filled has exception, phase equality of temperature
The pressure change under scope is spent, the working time of power source there can be relatively large deviation with t1, can in this, as accumulator Preliminary pressure-filled
There can be abnormal basis for estimation 2.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711373666.1A CN108035941A (en) | 2017-12-19 | 2017-12-19 | Accumulator Preliminary pressure-filled exception on-line detecting system and method based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711373666.1A CN108035941A (en) | 2017-12-19 | 2017-12-19 | Accumulator Preliminary pressure-filled exception on-line detecting system and method based on big data |
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|---|---|---|---|---|
| CN108757425A (en) * | 2018-05-16 | 2018-11-06 | 四川宏华电气有限责任公司 | A kind of fracturing pump state of health monitoring system and method |
| CN109580120A (en) * | 2018-11-30 | 2019-04-05 | 中国航空工业集团公司沈阳飞机设计研究所 | A kind of monitoring method of undercarriage buffer |
| CN110422229A (en) * | 2019-08-12 | 2019-11-08 | 三一汽车起重机械有限公司 | Pressure feedback control method and controller for vehicle assisted diversion |
| CN110566540A (en) * | 2019-09-09 | 2019-12-13 | 上海电气风电集团有限公司 | Leakage detection method and detection system for hydraulic variable pitch system of wind driven generator |
| CN113217504A (en) * | 2021-05-27 | 2021-08-06 | 中冶赛迪工程技术股份有限公司 | Hydraulic system main pump volumetric efficiency detection system |
| CN113757225A (en) * | 2020-06-03 | 2021-12-07 | 广州汽车集团股份有限公司 | An accumulator pressure control method and device |
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Cited By (10)
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| CN110422229A (en) * | 2019-08-12 | 2019-11-08 | 三一汽车起重机械有限公司 | Pressure feedback control method and controller for vehicle assisted diversion |
| CN110422229B (en) * | 2019-08-12 | 2021-08-24 | 三一汽车起重机械有限公司 | Pressure feedback control method and controller for vehicle auxiliary steering |
| CN110566540A (en) * | 2019-09-09 | 2019-12-13 | 上海电气风电集团有限公司 | Leakage detection method and detection system for hydraulic variable pitch system of wind driven generator |
| CN110566540B (en) * | 2019-09-09 | 2021-01-19 | 上海电气风电集团股份有限公司 | Leakage detection method and detection system for hydraulic variable pitch system of wind driven generator |
| CN113757225A (en) * | 2020-06-03 | 2021-12-07 | 广州汽车集团股份有限公司 | An accumulator pressure control method and device |
| CN113757225B (en) * | 2020-06-03 | 2022-09-13 | 广州汽车集团股份有限公司 | Pressure control method and device for energy accumulator |
| CN113217504A (en) * | 2021-05-27 | 2021-08-06 | 中冶赛迪工程技术股份有限公司 | Hydraulic system main pump volumetric efficiency detection system |
| CN113217504B (en) * | 2021-05-27 | 2022-06-10 | 中冶赛迪工程技术股份有限公司 | Hydraulic system main pump volumetric efficiency detection system |
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Application publication date: 20180515 |