Optimal selection of tests for fault detection and isolation in multi-operating mode system
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摘要
The complex systems are often in the structure of multi-operating modes, and the components implementing system functions are different under different operation modes, which results in the problems that components often fail in different operating modes, faults can be only detected in specified operating modes, tests can be available in specified operating modes,and the cost and efficiency of detecting and isolating faults are different under different operating modes and isolation levels. Aiming at these problems, an optimal test selection method for fault detection and isolation in the multi-operating mode system is proposed by using the fault pair coding and rollout algorithm. Firstly,the faults in fault-test correlation matrices under different operating modes are combined to fault-pairs, which is used to construct the fault pair-test correlation matrices under different operating modes.Secondly, the final fault pair-test correlation matrix of the multioperating mode system is obtained by operating the fault pair-test correlation matrices under different operating modes. Based on the final fault pair-test correlation matrix, the necessary tests are selected by the rollout algorithm orderly. Finally, the effectiveness of the proposed method is verified by examples of the optimal test selection in the multi-operating mode system with faults isolated to different levels. The result shows that the proposed method can effectively mine the fault detection and isolation ability of tests and it is suitable for the optimal test selection of the multi-operating mode system with faults isolated to the replacement unit and specific fault.
The complex systems are often in the structure of multi-operating modes, and the components implementing system functions are different under different operation modes, which results in the problems that components often fail in different operating modes, faults can be only detected in specified operating modes, tests can be available in specified operating modes,and the cost and efficiency of detecting and isolating faults are different under different operating modes and isolation levels. Aiming at these problems, an optimal test selection method for fault detection and isolation in the multi-operating mode system is proposed by using the fault pair coding and rollout algorithm. Firstly,the faults in fault-test correlation matrices under different operating modes are combined to fault-pairs, which is used to construct the fault pair-test correlation matrices under different operating modes.Secondly, the final fault pair-test correlation matrix of the multioperating mode system is obtained by operating the fault pair-test correlation matrices under different operating modes. Based on the final fault pair-test correlation matrix, the necessary tests are selected by the rollout algorithm orderly. Finally, the effectiveness of the proposed method is verified by examples of the optimal test selection in the multi-operating mode system with faults isolated to different levels. The result shows that the proposed method can effectively mine the fault detection and isolation ability of tests and it is suitable for the optimal test selection of the multi-operating mode system with faults isolated to the replacement unit and specific fault.
The complex systems are often in the structure of multi-operating modes, and the components implementing system functions are different under different operation modes, which results in the problems that components often fail in different operating modes, faults can be only detected in specified operating modes, tests can be available in specified operating modes,and the cost and efficiency of detecting and isolating faults are different under different operating modes and isolation levels. Aiming at these problems, an optimal test selection method for fault detection and isolation in the multi-operating mode system is proposed by using the fault pair coding and rollout algorithm. Firstly,the faults in fault-test correlation matrices under different operating modes are combined to fault-pairs, which is used to construct the fault pair-test correlation matrices under different operating modes.Secondly, the final fault pair-test correlation matrix of the multioperating mode system is obtained by operating the fault pair-test correlation matrices under different operating modes. Based on the final fault pair-test correlation matrix, the necessary tests are selected by the rollout algorithm orderly. Finally, the effectiveness of the proposed method is verified by examples of the optimal test selection in the multi-operating mode system with faults isolated to different levels. The result shows that the proposed method can effectively mine the fault detection and isolation ability of tests and it is suitable for the optimal test selection of the multi-operating mode system with faults isolated to the replacement unit and specific fault.
引文
[1]TAN X D.Research on key technologies of design for testability for health state evaluation.Changsha,China:National University of Defense Science and Technology,2013.(in Chinese)
[2]CHENG L Y,LAI X Q.Rapidly transient response with the flexible mode and high-efficiency buck-boost converter.Journal of Xidian University,2016,43(5):93-98.(in Chinese)
[3]XIONG X L.On bifurcation of multi operating-mode standalone renewable power generation systems.Nanjing,China:Nanjing University of Aeronautics and Astronautics,2015.(in Chinese)
[4]WANG B,XU J,WAI R J,et al.Adaptive sliding-mode with hysteresis control strategy for simple multi-mode hybrid energy storage system in electric vehicles.IEEE Trans.on Industrial Electronics,2017,64(2):3592-3600.
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[6]ZHU J,GE Z,SONG Z.Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes.IFAC Journal of Systems and Control,2018,6(30):1-15.
[7]HILLER B,SAITENMACHER R,WALTHER T.Analysis of operating modes of complex compressor stations.Operations Research Proceedings,2017:251-257.
[8]ZHANG Y,TOMSOVIC K,DJOUADI S M,et al.Hybrid controller for wind turbine generators to ensure adequate frequency response in power networks.IEEE Journal on Emerging and Selected Topics in Circuits and Systems,2017,7(3):1-11.
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[10]SHAKERI M.Advances in system fault modeling and diagnosis.University of Connecticut,1996.
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[14]TANG X,XU A,NIU S.KKCV-GA-based method for optimal analog test point selection.IEEE Trans.on Instrumentation and Measurement,2017,66(1):24-32.
[15]YANG C.Parallel-series multi-objective genetic algorithm for optimal tests selection with multiple constraints.IEEE Trans.on Instrumentation and Measurement,2018,67(8):1859-1876.
[16]ZHANG S G,PATTIPATI K R,HU Z,et al.Optimal selection of imperfect tests for fault detection and isolation.IEEE Trans.on Systems Man and Cybernetics:Systems,2013,43(6):1370-1384.
[17]LIU G,LI F,DI P.Research on optimal test selection based on fused algorithm.Computer Science,2013,40(6):54-57.(in Chinese)
[18]DAI X C,NAN J G,HUANG L,et al.An optimal test selection based on improved genetic simulated annealing algorithm.Journal of Air Force Engineering University(Natural Science Edition),2016,17(2):70-75.(in Chinese)
[19]LV X F,ZHOU D Y,TANG Y C,et al.An improved test selection optimization model based on fault ambiguity group isolation and chaotic discrete PSO.Complexity,2018:1-10.
[20]DENG S,JING B,ZHOU H.Heuristic particle swarm optimization approach for test point selection with imperfect test.Journal of Intelligent Manufacturing,2017,28(1):37-55.
[21]MA L,LI H J,WANG C G,et al.Optimized test selection method considering the cost of alternative maintenance.Chinese Journal of Scientific Instrument,2015,36(2):280-286.(in Chinese)
[22]HUA J,QIN K Y.Optimal test selection based on improved quantum-inspired evolutionary algorithm.Chinese Journal of Scientific Instrument,2013,34(4):838-845.(in Chinese)
[23]WANG H Q,WANG G W,GUO L H,et al.Optimization selection of test points on complex equipment for discrete firefly algorithm.Optics and Precision Engineering,2017,25(5):1357-1367.(in Chinese)
[24]SRIVATSAVA P R,MALLIKARJUN B,YANG X S,et al.Optimal test sequence generation using firefly algorithm.Swarm and Evolutionary Computation,2013,8:44-53.
[25]LIU J M,LIU Y H,FENG F Z,et al.The optimization selection of tests based on greedy algorithm.Acta Armamentarii,2014,35(12):2109-2115.(in Chinese)
[26]LI B L,YANG S M,GUO C.Research on system level equipment test optimization selection based on PHM demand.Measurement&Control Technology,2015,34(11):144-147.(in Chinese)
[27]GJB 2547A-2012.General requirements for equipment testability.China General Armament Department,China,2012.(in Chinese)
[28]BERTSEKAS D P,TSITSIKLIS J N,WU C.Rollout algorithms for combinatorial optimization.Journal of Heuristics,1997,3(3):245-262.
[29]BERTSEKAS D P,CASTANON D A.Rollout algorithms for stochastic scheduling problems.Journal of Heuristics,1998,5(5):89-108.
[30]GOODSON J C,THOMAS B W,OHLMAN J W.A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs.European Journal of Operational Research,2016,258(1):216-229.
[31]MIL-STD-2165A.Military standard testability program for systems and equipments.U.S.Department of Defense,USA,1995.
[2]CHENG L Y,LAI X Q.Rapidly transient response with the flexible mode and high-efficiency buck-boost converter.Journal of Xidian University,2016,43(5):93-98.(in Chinese)
[3]XIONG X L.On bifurcation of multi operating-mode standalone renewable power generation systems.Nanjing,China:Nanjing University of Aeronautics and Astronautics,2015.(in Chinese)
[4]WANG B,XU J,WAI R J,et al.Adaptive sliding-mode with hysteresis control strategy for simple multi-mode hybrid energy storage system in electric vehicles.IEEE Trans.on Industrial Electronics,2017,64(2):3592-3600.
[5]BA T,GAO Y H,ZENG X H,et al.Mode-switch control scheme for hybrid electric vehicle.Journal of Jilin University(Engineering and Technology Edition),2016,46(1):20-26.(in Chinese)
[6]ZHU J,GE Z,SONG Z.Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes.IFAC Journal of Systems and Control,2018,6(30):1-15.
[7]HILLER B,SAITENMACHER R,WALTHER T.Analysis of operating modes of complex compressor stations.Operations Research Proceedings,2017:251-257.
[8]ZHANG Y,TOMSOVIC K,DJOUADI S M,et al.Hybrid controller for wind turbine generators to ensure adequate frequency response in power networks.IEEE Journal on Emerging and Selected Topics in Circuits and Systems,2017,7(3):1-11.
[9]PATTIPATI K R,RAGHAVAN V,SHAKERI M,et al.Teams:testability engineering and maintenance system.Proc.of the American Control Conference,1994:1989-1995.
[10]SHAKERI M.Advances in system fault modeling and diagnosis.University of Connecticut,1996.
[11]HASTE D,GHOSHAL S,PATTIPATI K,et al.Flexible integrated system health management for sustainable habitats.Proc.of the AIAA Information Systems,2018:1-16.
[12]AASENG G,FRANK J,IATAURO M,et al.Development and testing of a vehicle management system for autonomous spacecraft habitat operations.2018 AIAA Space and Astronautics Forum and Exposition,2018:1-18.
[13]GOULD E.Modeling it both ways:hybrid diagnostic modeling and its application to hierarchical system designs.Proc.of the Auto-Test Conference,2004:576-582.
[14]TANG X,XU A,NIU S.KKCV-GA-based method for optimal analog test point selection.IEEE Trans.on Instrumentation and Measurement,2017,66(1):24-32.
[15]YANG C.Parallel-series multi-objective genetic algorithm for optimal tests selection with multiple constraints.IEEE Trans.on Instrumentation and Measurement,2018,67(8):1859-1876.
[16]ZHANG S G,PATTIPATI K R,HU Z,et al.Optimal selection of imperfect tests for fault detection and isolation.IEEE Trans.on Systems Man and Cybernetics:Systems,2013,43(6):1370-1384.
[17]LIU G,LI F,DI P.Research on optimal test selection based on fused algorithm.Computer Science,2013,40(6):54-57.(in Chinese)
[18]DAI X C,NAN J G,HUANG L,et al.An optimal test selection based on improved genetic simulated annealing algorithm.Journal of Air Force Engineering University(Natural Science Edition),2016,17(2):70-75.(in Chinese)
[19]LV X F,ZHOU D Y,TANG Y C,et al.An improved test selection optimization model based on fault ambiguity group isolation and chaotic discrete PSO.Complexity,2018:1-10.
[20]DENG S,JING B,ZHOU H.Heuristic particle swarm optimization approach for test point selection with imperfect test.Journal of Intelligent Manufacturing,2017,28(1):37-55.
[21]MA L,LI H J,WANG C G,et al.Optimized test selection method considering the cost of alternative maintenance.Chinese Journal of Scientific Instrument,2015,36(2):280-286.(in Chinese)
[22]HUA J,QIN K Y.Optimal test selection based on improved quantum-inspired evolutionary algorithm.Chinese Journal of Scientific Instrument,2013,34(4):838-845.(in Chinese)
[23]WANG H Q,WANG G W,GUO L H,et al.Optimization selection of test points on complex equipment for discrete firefly algorithm.Optics and Precision Engineering,2017,25(5):1357-1367.(in Chinese)
[24]SRIVATSAVA P R,MALLIKARJUN B,YANG X S,et al.Optimal test sequence generation using firefly algorithm.Swarm and Evolutionary Computation,2013,8:44-53.
[25]LIU J M,LIU Y H,FENG F Z,et al.The optimization selection of tests based on greedy algorithm.Acta Armamentarii,2014,35(12):2109-2115.(in Chinese)
[26]LI B L,YANG S M,GUO C.Research on system level equipment test optimization selection based on PHM demand.Measurement&Control Technology,2015,34(11):144-147.(in Chinese)
[27]GJB 2547A-2012.General requirements for equipment testability.China General Armament Department,China,2012.(in Chinese)
[28]BERTSEKAS D P,TSITSIKLIS J N,WU C.Rollout algorithms for combinatorial optimization.Journal of Heuristics,1997,3(3):245-262.
[29]BERTSEKAS D P,CASTANON D A.Rollout algorithms for stochastic scheduling problems.Journal of Heuristics,1998,5(5):89-108.
[30]GOODSON J C,THOMAS B W,OHLMAN J W.A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs.European Journal of Operational Research,2016,258(1):216-229.
[31]MIL-STD-2165A.Military standard testability program for systems and equipments.U.S.Department of Defense,USA,1995.