GB2196445A - Condition monitoring equipment for power output devices - Google Patents
Condition monitoring equipment for power output devices Download PDFInfo
- Publication number
- GB2196445A GB2196445A GB8625005A GB8625005A GB2196445A GB 2196445 A GB2196445 A GB 2196445A GB 8625005 A GB8625005 A GB 8625005A GB 8625005 A GB8625005 A GB 8625005A GB 2196445 A GB2196445 A GB 2196445A
- Authority
- GB
- United Kingdom
- Prior art keywords
- equipment
- response
- parameters
- command
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0235—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
Power output devices such as thrusters, hydraulic rams, motor/gearbox combinations, and valve actuators are used in situations where the highest reliability is mandatory. Condition Monitoring Equipment 5 uses a suitable transducer 6 to measure the output of such an output Device 1 in response to a command input at 2. This measurement is repeated at frequent intervals during the execution of the command, and from this series of measurements various parameters indicative of performance are calculated. The equipment 5 may contain a model of the device 1, perhaps including the load 4 and associated control system (10), which in conjunction with the command (measured by a second transducer 7) is used to calculate the expected system response. From this calculated response is derived a set of target parameters, which are compared with the measured parameters. By comparisons between the measured parameters and the target parameters, any malfunction or deterioration of performance can be detected, and displayed remotely 8 or locally 9. <IMAGE>
Description
SPECIFICATION
Condition monitoring equipment for power output devices
Mechanical actuators, electromechanical power output devices, thrusters, hydraulic and pneumatic actuators, etc., are frequently used in applications where the highest reliability is mandatory. This condition monitoring equipment analyses and response of the power output device to each command, looking for evidence of deterioration or failure.
The general arrangement is shown in Fig. 1.
The response of the device 1 being monitored is measured by means of some suitable transducer 6, (e.g. position, angular position, displacement or movement, according to the particular application), attached to the mechanical output 3. The resultant electrical signal is taken to the condition monitoring equipment 5. All incoming control signals to the mechanical device are copied to the equipment (with buffering to change voltage levels, provide electrical isolation, convert from pneumatic or hydraulic signals to electrical signals, etc. as required). This interfacing is here shown provided by the transducer 7.
When the equipment detects a control signal to the mechanical device, it reacts by measuring the output of this device at frequent intervals, building up a "position profile" which consists of a set of readings of position, (or displacement, or angular position, or some similar parameter), continuing until after the command has been executed and all movement has ceased.
This set of measurement is then analysed, in order to obtain information about the response of the mechanical device to the command. Although the actual analysis may depend on the particular application, it would be normal to deduce from the position profile
1) The dead-time before the mechanical device starts to move.
2) The backlash on changing direction of movement.
3) The steady speed.
4) The over run after the command signal has ended.
5) The smoothness (or irregularity) of motion.
6) The initial acceleration.
7) The time taken to reach a set proportion of rated speed.
8) The overall movement which has taken place in response to the command.
The equipment makes use of, and in general will contain within itself, a model of the actual tor and the system to which it is coupled, from which is calculated the expected response to the command received by the power output device, and copied into the equipment, and from this calculated response values of some or all of the parameters listed above.
This model requires stored information from the last command, or last few comands, such as the direction of and magnitude of the last movement. (This information is held in a store, generally within the equipment.)
The measured parameters are compared with those calculated from the command signal and the model, and used to generate a "Figure of Merit" which is a measure of the closeness with which the real system complies with the model held within the performance monitoring equipment. The actual parameter weighting of this figure of merit will depend upon the particular properties of the system to be scrutinised.
Local displays 9 will give an indication of changes in various parameters, and some or all of these parameters may also be displayed remotely, possibly on some central data logging or alarm system 8.
Essentially, this "Figure of Merit" is to be used to classify the response of the actuator as
1) Normal
2) Showing signs of deterioration
3) Definite Malfunction but more detailed classification of the results may be desirable in certain instances.
Several alternative configurations are possible: Fig. 2 shows that the movement of the system in response to a command to the actuator does not of necessity have to be measured at the point where the power is transmitted to the mechanical part of the system, but can be measured at some remote point.
Fig. 3 shows an application in which an electronic controller or signal decoding device
10 is included within the system under scrutiny. The model stored within the equipment is in this instance modified to describe the combined response of the control device, the actuator itself, and the mechanical system to which it is coupled. This is primarily to enable the control or signal decoding device to be included within the parts of the system to be verified by this condition monitoring equipment.
Fig. 4 shows additional transducers which may be necessary for particular applications. If the actuating device is electrically powered, and fluctuations in supply (i.e. voltage and frequency) are to be expected, then the model must be enlarged to take into account these fluctuations, which must be measured by an additional voltage transducer 12 and frequency transducer 13 shown connected to the power supply 11. Similarly, if the actuating device is pneumatically or hydraulically powered, then it
may be necessary to measure the pressure of the fluid supply 14 by means of a pressure transducer 15.
Various additional switches or switched inputs 16 may be necessary to take into ac count changes in operating conditions, etc.
Where the system response is determined by any additional parameters, not already taken into account, then additional transducers 18 may be required to measure these parameters. For the purposes of this example these are shown schematically as originating in the mechanical part of the system 17.
In each of these cases the model which simulates the system response must be modified to take into account the effect of these additional inputs.
The condition monitoring equipment may be extended to validate the incoming commands to the system under scrutiny, for instance by comparing the duration and nature of these commands, and the intervals between commands, with preset limits contained within the equipment. The equipment may also be used to detect improper or undesirable movements of the mechanical output when no command signal occurs, or in the interval between commands.
The equipment will contain a "watch-dog" device, so that the equipment is to a very large extent self-checking. That is to say, any fault occuring within the equipment will be detected by the "watch-dog" device, and will generate an external error signal.
The model describing the response of the power output device and mechanical system to a command may be derived empirically, from observations of the response of a known good device to a -series of commands, measured 'in situ', or it may be derived from separate performance tests carried out in a test rig or similar facility.
In the former case, the responses of the observed device will be taken as the standard against which performance is compared.
In the latter case the testing of new systems would generally, although not essentially, be carried out by separate equipment, which would generate the parameters to be used by the model in the monitoring equipment. (This method has certain advantages, in that (as an example) it may be easier to generate abnormal supply voltages, loads and conditions in a separate test facility than in the normal operating environment.)
These parameters may be entered into the equipment in any one of a number of ways familiar to those skilled in the applications of modern electronic devices. Obvious methods include manually entering data via-a keyboard, (permanent or attached only for the purposes of data entry), or storing data on memory devices, which are programmed in a separate test device, and then inserted into the equipment itself. Other methods of data transfer could include data links, discs and data tapes.
Claims (6)
1. This equipment makes a frequently repeated series of output position measurements during the period of execution of a command, and by examination of these measurements extracts information relevant to the condition of the system. This information is to include such values as total movement in response to a command, stead state speed, backlash on reversal overshoot or over-run, and smoothness of movement. It is envisaged that for new applications other (additional) parameters may be found which will be of particular value in particular circumstances, and not a!l of the parameters listed may be required in every application.
2. This equipment as claimed in claim 1 is particularly attractive in situations where any measurements are likely to be degraded by noise, or by the the limited resolution and linearity of commercially available transducers, or by quantisation error, or when the movement of the output is in itself a small part of the permissible range of travel.
This is particularly like to be the case when monitoring the movement of control elements during steady state conditions, in a variety of applications.
Not only does the multiplicity of measurements reduce the effect of non systematic error, but by using statistical or predictive algorithms it is possible extract the maximum information content from such degraded signals.
3. The equipment as claimed in claim 1 and in claim 2 embodies a model of the system, which calculates the response of the system to a measured command, and from this calculated response derives the parameters particularly relevant to the condition of the system. The model is particularly valuable in that it may take into account permitted changes such as fluctuations in power supply conditions and can be extended as necessary to take into account other quantities influencing the response of the system, such as variations in mechanical load, provided only that it is possible to measure these quantities, and relate them deterministically to their effect upon system response.
4. The equipment as claimed in claim 1, claim 2 and in claim 3 carries out a comparison between the parameter derived from the internally held model and the series of measurements and the results of this comparison is used to quantify the "merit" of the system, in terms of the closeness of the correspondence between the measured and calculated parameters. This figure of merit takes into account all information extracted from the system, and can be weighted to take the greatest account of parameters found experimentally to the most closely related to device deterioration, in a particular application.
5. The equipment as claimed in any preceding claim uses a model or simulation of the system to be monitored. This model may be empirical, based upon a multiplicity of observations, or mathematical, based upon a theo retical understanding of the system to be modelled, or any combination of these two cases. In this way, it is possible to extend the usefulness of this equipment to cover a plurality of diverse applications.
6. The equipment as claimed in any preceding claim uses a method of analysis of information gathered using only simple transducers, likely to be both highly reliable and of relatively low cost, and will permit machinery condition monitoring to be extended into fields where methods currently available are inadequate, either because of high transducer and equipment costs, or because the power levels are insufficiently great for reliable measurement to be possible in a working environment, or because methods currently available do not yield sufficient information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB8625005A GB2196445A (en) | 1986-10-17 | 1986-10-17 | Condition monitoring equipment for power output devices |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB8625005A GB2196445A (en) | 1986-10-17 | 1986-10-17 | Condition monitoring equipment for power output devices |
Publications (2)
Publication Number | Publication Date |
---|---|
GB8625005D0 GB8625005D0 (en) | 1986-11-19 |
GB2196445A true GB2196445A (en) | 1988-04-27 |
Family
ID=10605966
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB8625005A Withdrawn GB2196445A (en) | 1986-10-17 | 1986-10-17 | Condition monitoring equipment for power output devices |
Country Status (1)
Country | Link |
---|---|
GB (1) | GB2196445A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2639443A1 (en) * | 1988-11-24 | 1990-05-25 | Aerospatiale | AUTOMATIC PROCESS FOR ANALYSIS OF SIGNALS IN AN INDUSTRIAL ASSERVED SYSTEM AND DEVICE FOR IMPLEMENTING THE METHOD |
WO1999017177A1 (en) * | 1997-09-29 | 1999-04-08 | Fisher Controls International, Inc. | Method of and apparatus for nonobtrusively obtaining on-line measurements of a process control device parameter |
FR2774794A1 (en) * | 1998-02-11 | 1999-08-13 | Ksb Sa | METHOD FOR MONITORING THE PROPER OPERATION OF AN APPARATUS BY COMPARISON WITH THE OPERATION OF ANOTHER APPARATUS AND INSTALLATION FOR IMPLEMENTING IT |
US6192321B1 (en) | 1997-09-29 | 2001-02-20 | Fisher Controls International, Inc. | Method of and apparatus for deterministically obtaining measurements |
US6466893B1 (en) | 1997-09-29 | 2002-10-15 | Fisher Controls International, Inc. | Statistical determination of estimates of process control loop parameters |
US6804618B2 (en) | 1997-09-29 | 2004-10-12 | Fisher Controls International, Llc | Detection and discrimination of instabilities in process control loops |
US7444191B2 (en) | 2005-10-04 | 2008-10-28 | Fisher-Rosemount Systems, Inc. | Process model identification in a process control system |
US7738975B2 (en) | 2005-10-04 | 2010-06-15 | Fisher-Rosemount Systems, Inc. | Analytical server integrated in a process control network |
US8036760B2 (en) | 2005-10-04 | 2011-10-11 | Fisher-Rosemount Systems, Inc. | Method and apparatus for intelligent control and monitoring in a process control system |
GB2514211A (en) * | 2013-03-05 | 2014-11-19 | Joy Mm Delaware Inc | Predicting motor failure based on relationship of motor pair characteristics |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB1079032A (en) * | 1963-04-23 | 1967-08-09 | English Electric Co Ltd | Apparatus for monitoring the operation of closed loop control systems |
GB1332545A (en) * | 1971-06-10 | 1973-10-03 | Vnii Komiteta Standartov Mer I | Apparatus for testing pneumatic pressure transmitters |
GB2082794A (en) * | 1980-08-26 | 1982-03-10 | United Technologies Corp | Adaptive aircraft actuator fault detection |
GB2084349A (en) * | 1980-09-26 | 1982-04-07 | Bendix Corp | Controller for dual servo system |
EP0088539A1 (en) * | 1982-03-10 | 1983-09-14 | Imperial Chemical Industries Plc | Trip system |
GB2121562A (en) * | 1982-06-07 | 1983-12-21 | United Technologies Corp | Method and apparatus for detecting failures in a control system |
US4542649A (en) * | 1983-07-19 | 1985-09-24 | Charbonneau And Godfrey Associates | Motor operated valve analysis and testing system |
US4566310A (en) * | 1982-03-31 | 1986-01-28 | Framatome & Cie | Method of inspecting the operation of a valve and mechanical test bench for performing the method |
-
1986
- 1986-10-17 GB GB8625005A patent/GB2196445A/en not_active Withdrawn
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB1079032A (en) * | 1963-04-23 | 1967-08-09 | English Electric Co Ltd | Apparatus for monitoring the operation of closed loop control systems |
GB1332545A (en) * | 1971-06-10 | 1973-10-03 | Vnii Komiteta Standartov Mer I | Apparatus for testing pneumatic pressure transmitters |
GB2082794A (en) * | 1980-08-26 | 1982-03-10 | United Technologies Corp | Adaptive aircraft actuator fault detection |
GB2084349A (en) * | 1980-09-26 | 1982-04-07 | Bendix Corp | Controller for dual servo system |
EP0088539A1 (en) * | 1982-03-10 | 1983-09-14 | Imperial Chemical Industries Plc | Trip system |
US4566310A (en) * | 1982-03-31 | 1986-01-28 | Framatome & Cie | Method of inspecting the operation of a valve and mechanical test bench for performing the method |
GB2121562A (en) * | 1982-06-07 | 1983-12-21 | United Technologies Corp | Method and apparatus for detecting failures in a control system |
US4542649A (en) * | 1983-07-19 | 1985-09-24 | Charbonneau And Godfrey Associates | Motor operated valve analysis and testing system |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2639443A1 (en) * | 1988-11-24 | 1990-05-25 | Aerospatiale | AUTOMATIC PROCESS FOR ANALYSIS OF SIGNALS IN AN INDUSTRIAL ASSERVED SYSTEM AND DEVICE FOR IMPLEMENTING THE METHOD |
EP0370906A1 (en) * | 1988-11-24 | 1990-05-30 | AEROSPATIALE Société Nationale Industrielle | Automatic signal analysis method in an industrial servo system, and device to bring this method into operation |
US5966679A (en) * | 1995-10-30 | 1999-10-12 | Fisher Controls International, Inc. | Method of and apparatus for nonobtrusively obtaining on-line measurements of a process control device parameter |
WO1999017177A1 (en) * | 1997-09-29 | 1999-04-08 | Fisher Controls International, Inc. | Method of and apparatus for nonobtrusively obtaining on-line measurements of a process control device parameter |
US6192321B1 (en) | 1997-09-29 | 2001-02-20 | Fisher Controls International, Inc. | Method of and apparatus for deterministically obtaining measurements |
US6466893B1 (en) | 1997-09-29 | 2002-10-15 | Fisher Controls International, Inc. | Statistical determination of estimates of process control loop parameters |
US6804618B2 (en) | 1997-09-29 | 2004-10-12 | Fisher Controls International, Llc | Detection and discrimination of instabilities in process control loops |
US7039537B2 (en) | 1997-09-29 | 2006-05-02 | Fisher Controls Llc. | Detection and discrimination of instabilities in process control loops |
FR2774794A1 (en) * | 1998-02-11 | 1999-08-13 | Ksb Sa | METHOD FOR MONITORING THE PROPER OPERATION OF AN APPARATUS BY COMPARISON WITH THE OPERATION OF ANOTHER APPARATUS AND INSTALLATION FOR IMPLEMENTING IT |
EP0936577A1 (en) * | 1998-02-11 | 1999-08-18 | Ksb S.A. | Method and system for checking the proper functioning of an apparatus by comparison with the functioning of another apparatus |
US7444191B2 (en) | 2005-10-04 | 2008-10-28 | Fisher-Rosemount Systems, Inc. | Process model identification in a process control system |
US7738975B2 (en) | 2005-10-04 | 2010-06-15 | Fisher-Rosemount Systems, Inc. | Analytical server integrated in a process control network |
US8036760B2 (en) | 2005-10-04 | 2011-10-11 | Fisher-Rosemount Systems, Inc. | Method and apparatus for intelligent control and monitoring in a process control system |
US8046096B2 (en) | 2005-10-04 | 2011-10-25 | Fisher-Rosemount Systems, Inc. | Analytical server integrated in a process control network |
US8706267B2 (en) | 2005-10-04 | 2014-04-22 | Fisher-Rosemount Systems, Inc. | Process model identification in a process control system |
US10310456B2 (en) | 2005-10-04 | 2019-06-04 | Fisher-Rosemount Systems, Inc. | Process model identification in a process control system |
US11487252B2 (en) | 2005-10-04 | 2022-11-01 | Fisher-Rosemount Systems, Inc. | Process model identification in a process control system |
GB2514211A (en) * | 2013-03-05 | 2014-11-19 | Joy Mm Delaware Inc | Predicting motor failure based on relationship of motor pair characteristics |
US9391495B2 (en) | 2013-03-05 | 2016-07-12 | Joy Mm Delaware, Inc. | Predicting motor failure based on relationship of motor pair characteristics |
US9800195B2 (en) | 2013-03-05 | 2017-10-24 | Joy Mm Delaware, Inc. | Predicting motor failure based on relationship of motor pair characteristics |
GB2514211B (en) * | 2013-03-05 | 2019-12-11 | Joy Global Underground Mining Llc | Predicting motor failure based on relationship of motor pair characteristics |
Also Published As
Publication number | Publication date |
---|---|
GB8625005D0 (en) | 1986-11-19 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |