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RU98110498A - METHOD FOR DETECTING FAILURES OF SENSORS AND MONITORING CORRECTIONS OF OBJECT - Google Patents

METHOD FOR DETECTING FAILURES OF SENSORS AND MONITORING CORRECTIONS OF OBJECT

Info

Publication number
RU98110498A
RU98110498A RU98110498/06A RU98110498A RU98110498A RU 98110498 A RU98110498 A RU 98110498A RU 98110498/06 A RU98110498/06 A RU 98110498/06A RU 98110498 A RU98110498 A RU 98110498A RU 98110498 A RU98110498 A RU 98110498A
Authority
RU
Russia
Prior art keywords
observer
observers
sensors
state
matrix
Prior art date
Application number
RU98110498/06A
Other languages
Russian (ru)
Other versions
RU2126903C1 (en
Inventor
В.И. Зазулов
Л.Я. Бондарев
Ю.М. Зеликин
А.А. Добрынин
В.И. Клепиков
Original Assignee
Открытое акционерное общество "Научно-производственное предприятие - Электронно-гидравлическая автоматика"
Filing date
Publication date
Application filed by Открытое акционерное общество "Научно-производственное предприятие - Электронно-гидравлическая автоматика" filed Critical Открытое акционерное общество "Научно-производственное предприятие - Электронно-гидравлическая автоматика"
Priority to RU98110498A priority Critical patent/RU2126903C1/en
Priority claimed from RU98110498A external-priority patent/RU2126903C1/en
Application granted granted Critical
Publication of RU2126903C1 publication Critical patent/RU2126903C1/en
Publication of RU98110498A publication Critical patent/RU98110498A/en
Priority to PCT/RU1999/000186 priority patent/WO1999064736A1/en
Priority to EP99927001A priority patent/EP1096122A4/en

Links

Claims (2)

1. Способ обнаружения отказов датчиков и контроля исправности объекта, при котором датчики соединяют с наблюдателями состояния, построенными на основе модели объекта, причем с одним из наблюдателей соединяют все датчики, а с каждым из остальных - все датчики кроме одного, определяют взвешенную сумму квадратов невязок всех наблюдателей, осуществляют сравнение значения взвешенной суммы квадратов невязок первого наблюдателя со значениями взвешенных сумм квадратов невязок каждого из остальных наблюдателей, максимальное из значений полученных сигналов разностей сравнивают с пороговым значением и формируют сигнал отказа того датчика, показания которого не использованы в наблюдателе, для которого это значение превышает пороговое и делают вывод о состоянии датчиков и объекта, отличающийся тем, что для каждого наблюдателя состояния определяют область возможного расположения невязок, вызванных погрешностями задания параметров модели объекта и определяют отказ датчика путем выбора тех наблюдателей состояния, невязки которых при анализе показаний датчиков, выходят за пределы заданной области.1. A method for detecting sensor failures and monitoring the health of an object, in which the sensors are connected to state observers based on the model of the object, and all sensors are connected to one of the observers, and all but one sensor to each of the others are used to determine the weighted sum of squared residuals of all observers, compare the values of the weighted sum of squared residuals of the first observer with the values of the weighted sum of squared residuals of each of the other observers, the maximum of the values obtained of the difference signals, they are compared with a threshold value and a failure signal is generated from the sensor whose readings are not used in the observer, for which this value exceeds the threshold and draw a conclusion about the state of the sensors and the object, characterized in that for each observer of the state, the region of the possible location of residuals is determined, caused by errors in setting the parameters of the model of the object and determine the sensor failure by selecting those state observers whose discrepancies in the analysis of the sensor readings go beyond ly predetermined area. 2. Способ обнаружения отказов датчиков и контроля исправности объекта по п. 1, отличающийся тем, что область возможного расположения невязок, вызванных погрешностями задания параметров модели объекта, определяют из выражений
Σi
где
Figure 00000001
- матрица эллипсоида допустимого расположения вектора невязок i-го наблюдателя;
Qi - матрица эллипсоида допустимого расположения вектора состояния i-го наблюдателя;
Fi = Ai - KiCi - собственная матрица наблюдателя;
qi, gi, hi - скалярные коэффициенты;
Gi, Wi - матрицы предельных отклонений параметров модели;
Т - символ транспонирования.2. A method for detecting sensor failures and monitoring the health of an object according to claim 1, characterized in that the region of a possible location of residuals caused by errors in setting parameters of the object model is determined from the expressions
Σ i
Where
Figure 00000001
- matrix of the ellipsoid of the permissible location of the residual vector of the i-th observer;
Q i is the matrix of the ellipsoid of the permissible location of the state vector of the i-th observer;
F i = A i - K i C i is the observer's own matrix;
q i , g i , h i are scalar coefficients;
G i , W i - matrix of maximum deviations of the model parameters;
T is the symbol for transposition.
RU98110498A 1998-06-09 1998-06-09 Pickup failure detection and object condition checking method RU2126903C1 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
RU98110498A RU2126903C1 (en) 1998-06-09 1998-06-09 Pickup failure detection and object condition checking method
PCT/RU1999/000186 WO1999064736A1 (en) 1998-06-09 1999-06-03 Method for detecting sensor failures and for controlling the operation conditions of an object
EP99927001A EP1096122A4 (en) 1998-06-09 1999-06-03 Method for detecting sensor failures and for controlling the operation conditions of an object

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
RU98110498A RU2126903C1 (en) 1998-06-09 1998-06-09 Pickup failure detection and object condition checking method

Publications (2)

Publication Number Publication Date
RU2126903C1 RU2126903C1 (en) 1999-02-27
RU98110498A true RU98110498A (en) 1999-05-10

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
RU98110498A RU2126903C1 (en) 1998-06-09 1998-06-09 Pickup failure detection and object condition checking method

Country Status (3)

Country Link
EP (1) EP1096122A4 (en)
RU (1) RU2126903C1 (en)
WO (1) WO1999064736A1 (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1332078B1 (en) 2000-10-28 2005-08-17 Robert Bosch Gmbh Jointless wiper blade, in particular for a motor vehicle
ATE544106T1 (en) * 2001-02-19 2012-02-15 Abb Schweiz Ag DETERMINATION OF DEGRADATION OF A GAS TURBINE
DE10135586B4 (en) 2001-07-20 2007-02-08 Eads Deutschland Gmbh Reconfiguration method for a sensor system with two observers and sensor system for carrying out the method
US6687596B2 (en) * 2001-08-31 2004-02-03 General Electric Company Diagnostic method and system for turbine engines
ES2540582T3 (en) * 2001-10-04 2015-07-10 Robert Bosch Gmbh Procedure for reducing rattle vibrations in electronically regulated windshield wiper installations
US6782314B2 (en) * 2001-11-16 2004-08-24 Goodrich Pump & Engine Control Systems, Inc. Method of detecting in-range engine sensor faults
US7953577B2 (en) * 2004-08-25 2011-05-31 Siemens Corporation Method and apparatus for improved fault detection in power generation equipment
EP1705542B1 (en) * 2005-03-24 2008-08-06 Abb Research Ltd. Estimating health parameters or symptoms of a degrading system
CN102865147B (en) * 2011-07-06 2014-10-08 中国航空工业集团公司沈阳发动机设计研究所 Method for processing signal failure of control sensor by using dual-redundancy control rule
CA2805286C (en) * 2012-02-20 2016-04-05 Alstom Technology Ltd. Control system to monitor and control a turbine
RU2501964C1 (en) * 2012-04-27 2013-12-20 Открытое акционерное общество "Концерн Кизлярский электромеханический завод" (ОАО "Концерн КЭМЗ") System of gas turbine engine control
RU2526765C2 (en) * 2012-10-26 2014-08-27 Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Воронежский государственный университет инженерных технологий" (ФГБОУ ВПО "ВГУИТ") METHOD OF CONSTRUCTING AUTOMATIC CONTROL SYSTEM WITH INTERACTION OVER Ethernet NETWORK
WO2015100632A1 (en) 2013-12-31 2015-07-09 西门子公司 Method for diagnosing operational parameter detection fault in gas turbine
EP3246547A1 (en) 2016-05-18 2017-11-22 Siemens Aktiengesellschaft Controlling a gas turbine considering a sensor failure
CN119004862B (en) * 2024-10-22 2025-03-11 南京理工大学 Distributed sensor fault diagnosis method and system based on multi-moving body networking system

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4212161A (en) * 1978-05-01 1980-07-15 United Technologies Corporation Simulated parameter control for gas turbine engine
SU805324A1 (en) * 1978-05-22 1981-02-15 Предприятие П/Я Р-6378 Device for investigating characteristics of gas-turbine engines
SU714841A1 (en) * 1978-07-05 1996-03-10 В.В. Блиндерман Method of signalizing for abnormal deviation of controllable parameters of gas turbine engine
US4500966A (en) * 1982-05-26 1985-02-19 Chandler Evans Inc. Super contingency aircraft engine control
US4993221A (en) * 1988-12-21 1991-02-19 General Electric Company Gas turbine engine control system
SE463338B (en) * 1989-06-14 1990-11-05 Ludwik Liszka SETTING TO MONITOR AND / OR DIAGNOSTIC CURRENT OPERATING CONDITIONS WITH COMPLIED MACHINES
US5680409A (en) * 1995-08-11 1997-10-21 Fisher-Rosemount Systems, Inc. Method and apparatus for detecting and identifying faulty sensors in a process

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