Fault Diagnosis Strategy for Multi-valued Attribute System Based on a Discrete Particle Swarm Optimization Algorithm

doi:10.12382/bgxb.2021.0673

Abstract

Abstract: To solve the problem that the traditional discrete particle swarm optimization (DPSO) algorithm can only find the minimum complete test set for a multivalued attribute system (MVAS), particle swarm optimization for test sequencing (PSO-TS) algorithm is proposed. The diagnosis strategy for MVAS is formulated based on multi-valued D matrix and five-tuple. The implementation process of DPSO is remodeled, and DPSO algorithm is combined with the fault diagnosis strategy of MVAS. Subsequently, a set of calculation rules for self-cognition and the social knowledge are set, and the exchange order is introduced to increase particle diversity. The PSO-TS algorithm is verified using experiments and stochastic simulations. Compared with the MV-Rollout algorithm and MV-IG algorithm, the PSO-TS algorithm can obtain an optimal fault diagnosis strategy with a relatively lower expected test cost, but with a longer running time.

Key words: multi-valuedattributesystem, discreteparticleswarmalgorithm, diagnosisstrategy, sequentialfaultdiagnosis

CLC Number:

TP206

TIAN Heng, XU Rongbin, JIANG Yanhong, ZHANG Wenhu, DENG Si'er. Fault Diagnosis Strategy for Multi-valued Attribute System Based on a Discrete Particle Swarm Optimization Algorithm[J]. Acta Armamentarii, 2022, 43(12): 3240-3246.

References

［1］刘俊涛, 杜浩, 丁楠, 等.航天装备保障效能评估方法研究［J］.导弹与航天运载技术, 2021(3):111-115.
LIU J T, DU H, DING N, et al. A research on evaluation method of space equipment support effectiveness［J］.Missiles and Space Vehicles, 2021(3):111-115.（in Chinese）
［2］刘建敏, 刘远宏, 冯辅周, 等. 基于贪婪算法的测试优化选择［J］.兵工学报, 2014, 35(12):2109-2115.
LIU J M, LIU Y H, FENG F Z, et al. The optimization selection of tests based on greedy algorithm［J］.Acta Armamentarii, 2014, 35(12):2109-2115.（in Chinese）
［3］ TU F, PATTIPATI K R. Rollout strategies for sequential fault diagnosis［J］. IEEE Transactions on Systems, Man, and Cybernetics-Part A:Systems and Humans, 2003, 33(1):86-99.
［4］黄以锋, 景博.基于Rollout算法的多值属性系统诊断策略［J］.控制与决策, 2011, 26(8):1269-1272.
HUANG Y F, JING B. Diagnosis strategy for multi-value attribute system based on Rollout algorithm［J］.Control and Decision, 2011, 26(8):1269-1272.（in Chinese）
［5］黄以锋, 景博, 茹常剑.基于信息熵的多值属性系统诊断策略优化方法［J］.仪器仪表学报, 2011, 32(5):1003-1008.
HUANG Y F, JING B, RU C J. Optimal method of diagnosis strategy in multi-value attribute system based on information entropy［J］.Chinese Journal of Science Instrument, 2011, 32(5): 1003-1008.（in Chinese）
［6］ TIAN H, DUAN F H, FAN L, et al. Fault diagnostic strategy of multi-valued attribute system based on growing algorithm ［J］. Proceedings of the iMeche, Part O: Journal of Risk and Reliability, 2019, 233(2): 235-245.
［7］ ZIARI I, LEDWICH G, GHOSH A. Optimal integrated planning of MV-LV distribution systems using DPSO［J］. Electric Power Systems Research, 2011, 81(10):1905-1914.
［8］ YUSOFF M, ARIFFIN J, MOHAMED A. DPSO based on a min-max approach and clamping strategy for the evacuation vehicle assignment problem［J］. Neurocomputing, 2015, 148:30-38.
［9］ LIAN G Y, HUANG K L, CHEN J H, et al. Optimization method for diagnostic sequence based on improved particle swarm optimization algorithm［J］. Journal of Systems Engineering and Electronics, 2009, 20(4):899-905.
［10］ YANG C L, YAN J H, LONG B, et al.A novel test optimizing algorithm for sequential fault diagnosis［J］. Microelectronics Journal, 2014, 45(6):719-727.
［11］陈希祥, 邱静, 刘冠军.基于混合二进制粒子群-遗传算法的测试优化选择研究［J］.仪器仪表学报, 2009, 30(8):1674-1680.
CHEN X X, QIU J, LIU G J．Optimal test selection ased on hybrid BPSO and GA［J］．Chinese Journal of Scientific instrument, 2009, 30(8):1674－1680．(in Chinese)
［12］ HOU W K, YAO G P, YAN J F. A method of testability optimization based on improved particle swarm optimization［C］∥Proceedings of 2014 Prognostics and System Health Management Conference.IEEE, 2014:451-455.
［13］ DENG S, JING B, ZHOU H L. Heuristic particle swarm optimization approach for test point selection with imperfect test［J］.Journal of Intelligent Manufacturing, 2017, 28(1):37-50.
［14］ 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［J］.Complexity, 2018, 4:1-10.
［15］ LIAN G Y, HUANG K L, CHEN J H, et al.Optimization method for diagnostic sequence based on improved particle swarm optimization algorithm［J］.Journal of Systems Engineering and Electronics, 2009, 20(4):899-905.
［16］ MA L, LI H J, LV X F. Optimal test selection of complex electronic systems based on improved discrete particle swarm optimization algorithm［J］. Lecture Notes in Electrical Engineering, 2015, 34:549-557.
［17］田恒, 张文虎, 邓四二, 等. 基于改进蚁群算法的多值属性系统故障诊断策略［J］.控制与决策, 2021, 36(11):2722-2728.
TIAN H, ZHANG W H, DENG S E, et al. Fault diagnosis strategy of multi-valued attribute system based on improved ant colony algorithm［J］.Control and Decision, 2021, 36(11):2722-2728. （in Chinese）
［18］王伟, 胡清华, 于霄, 等.多值属性系统的故障诊断策略最优化方法［J］.仪器仪表学报, 2008, 29(5):1073-1078.
WANG W, HU Q H, YU X, et al. Optimal method for fault diagnosis strategy with multi-value attribute system［J］. Chinese Journal of Science Instrument, 2008, 29(5):1073-1078.（in Chinese）
［19］田恒. 基于测试性D矩阵的故障诊断策略研究［D］.大连:大连理工大学, 2019.
TIAN H. Research of fault diagnosis strategy based on testability D matrix［D］. Dalian:Dalian university of Technology, 2019. （in Chinese）

[1]	WANG Rui， LI Xin'e， MA Tiehua， DU Hongmian， LU Yangyang. Two-dimensional Small Displacement Measurement Method Based on Capacitive Grating Sensor [J]. Acta Armamentarii, 2020, 41(7): 1441-1448.
[2]	XU Da, HE Kai-ping, LUO Jian-hua, LI Hua. Analysis and Correction of Installation Errors of Laser Parallel Detector Array Barrage Measuring System [J]. Acta Armamentarii, 2017, 38(2): 367-373.
[3]	TIAN Heng, DUAN Fu-hai, JIANG Xiu-hong, SANG Yong. A Novel Fault Diagnosis Algorithm of Testability D matrix Based on Quasi Information Entropy [J]. Acta Armamentarii, 2016, 37(5): 923-928.
[4]	HUANG Jing, LI Chang-chun, YAN Hao, YANG Xue-song, LI Jing. A New On-line Filtering Method Based on Improved EMD Algorithm [J]. Acta Armamentarii, 2016, 37(5): 929-935.
[5]	WANG Bing, LI Hong-ru, CHEN Qiang-hua, XU Bao-hua. Rolling Bearing Performance Degradative State Recognition Based on Mathematical Morphological Fractal Dimension andFuzzy Center Means [J]. Acta Armamentarii, 2015, 36(10): 1982-1990.
[6]	LI Zhi-nong, PI Hai-yu, XIAO Yao-xian. Blind Source Separation of Mechanical Fault Based on Quantum Genetic Algorithm [J]. Acta Armamentarii, 2014, 35(10): 1681-1688.
[7]	XIE Run, YANG Guo-lai. Research on Response Characteristics of Muzzle for Self-propelled Antiaircraft Gun Firing on the Move [J]. Acta Armamentarii, 2014, 35(8): 1158-1163.
[8]	NI Jin-ping, LU Hong-wei, TIAN Hui. Research on a Method of Measuring the Impact Location Dispersion of Double Barrel Cannon Based on the Seven-light-screen Array [J]. Acta Armamentarii, 2013, 34(4): 398-405.
[9]	DENG Sen₁, JING Bo₁, ZHOU Hong-liang₁, ZHU Hai-peng₁, LIU Xiao-ping₂. Fault Prediction Method Based on Improved AdaBoost-SVR Algorithm [J]. Acta Armamentarii, 2012, 33(8): 991-996.
[10]	HUANG Xin, LIAN Guang-yao, CHANG Tian-qing, XING Shi-yong. Study on Optimization Method Based on Technology Readiness Assessment and Binary Particle Swarm Optimization forEquipment Test Design [J]. Acta Armamentarii, 2011, 32(9): 1171-1176.
[11]	WU Ding-hai, ZHANG Pei-lin, REN Guo-quan, FU Jian-ping. Study on Diesel Engine Anomaly Detection Based on Hyper-sphere Classification with Maximal Distance [J]. Acta Armamentarii, 2011, 32(7): 790-794.
[12]	ZHENG Zhi-qiang， YUAN Hai-wen. Actuator Fault Diagnosis Based on Fuzzy Multiple Model Structure for Flight Control Systems [J]. Acta Armamentarii, 2010, 31(3): 380-384.
[13]	CHENG Gang， ZHANG Xiang-yan₁， DONG Zhi-qiang₂， XIAN Zhi-hong. Simulation Research on the Stability of Firing on-the-Move for Wheeled Self-propelled Anti-aircraft Gun [J]. Acta Armamentarii, 2010, 31(2): 149-153.
[14]	LI Hong-ru, XU Bao-hua. Fault Prognosis of Hydraulic Pump in the Missile Launcher [J]. Acta Armamentarii, 2009, 30(7): 900-906.
[15]	YANG Lu, SHEN Huai-rong. Research and Comparison on the Application of Hilbert- Huang Transform and Wavelet Transform to Fault Feature Extraction [J]. Acta Armamentarii, 2009, 30(5): 628-632.