Journal of Mechanical Engineering >

2017 , Vol. 53 >Issue 6: 195 - 202

DOI: https://doi.org/10.3901/JME.2017.06.195

Reliability Calculation Method of Electromechanical System Based on Random Fault Injection Combined with Artificial Neural Network

  • GUO Jiaojiao ,
  • LIU Wei ,
  • ZHAI Weihao ,
  • SHUI Langquan ,
  • ZHAO Hailong
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  • 1. Institute of Aircraft Reliability Engineering， Northwestern Polytechnical University， Xi’an 710129;
    2. Beijing Machinery and Equipment Research Institute， Beijing 100854

Online published: 2017-03-20

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Abstract

Based on the random fault injection combined with artificial neural network (ANN) technology,a reliability calculation method of electromechanical system with correlated failure modes is proposed. The virtual fault information is injected into the piston rod linear positioning system integrated simulation model by taking internal and external leakage of hydraulic cylinder as a typical fault example. By using the strong approximation function of the neural network,the explicit limit state equation between the critical sensitive characteristic parameters and the system state signals is obtained. The reliability probability constraint of the system is transformed into an equivalent deterministic constraint,which avoids the multiple traversal operation of electromechanical system dynamic response. Combined with stochastic simulation,the discussion of the complex correlation between the limit state functions of each failure mode is avoided. The parameter sensitivity analysis of the electromechanical system is analyzed and the sample is simplified by means of orthogonal experimental design method (DOE). Then based on the random fault injection-neural network method,the influence of the critical sensitive characteristic parameters on the reliability of electromechanical system is obtained. The reliability interval and the critical value of failure are obtained,which provide a reference and basis for the reliability analysis and design of electromechanical system.

Key words： artificial neural networks; dynamic; correlated failure modes; random failure; reliability

Cite this article

GUO Jiaojiao , LIU Wei , ZHAI Weihao , SHUI Langquan , ZHAO Hailong . Reliability Calculation Method of Electromechanical System Based on Random Fault Injection Combined with Artificial Neural Network[J]. Journal of Mechanical Engineering, 2017 , 53(6) : 195 -202 . DOI: 10.3901/JME.2017.06.195

References

[1] O’CONNOR P D T. Reliability-past，present，and future[J]. IEEE Trans on Reliability，2000，36：1-6.
 [2] XIE L Y，ZHOU J Y，HAO C Z. System-level load-strength interference based reliability modeling of k-out-of-n system[J]. Reliability Engineering & System Safety，2004，84(3)：311-317.
 [3] 郭建英，孙永全，于春雨，等. 复杂机电系统可靠性预测的若干理论与方法[J]. 机械工程学报，2014，50(14)：1-13.
 GUO Jianying，SUN Yongquan，YU Chunyu，et al. Some theory and method for complex electromechanical system reliability prediction[J]. Journal of Mechanical Engineering，2014，50(14)：1-13.
 [4] 谢里阳. 机械可靠性理论、方法及模型中若干问题评述[J]. 机械工程学报，2014，50(14)：27-35.
 XIE Liyang. Issues and commentary on mechanical reliability theories，methods and models[J]. Journal of Mechanical Engineering，2014，50(14)：27-35.
 [5] AVONTUUR G C，Van der WERFF K. Systems reliability analysis of mechanical and hydraulic drive systems[J]. Reliability Engineering and System Safety，2002，77：121-130.
 [6] HARI P M，RAMI R G，SRIVIDYA A，et al. Applying mechanistic models to reliability evaluation of mechanical components-An illustration[J]. Annals of Nuclear Energy，2011，38：1447-1451.
 [7] HALLOUZI R，VERHAEGEN M. Fault-tolerant subspace predictive control applied to a Boeing 747 model[J]. Journal of Guidance，Control，and Dynamics，2008，31(4)：873-883.
 [8] ARUL A J，IYER N K，VELUSAMY K. Efficient reliability estimate of passive thermal hydraulic safety system with automatic differentiation[J]. Nuclear Engineering and Design，2010，2768-2778.
 [9] BURGAZZI L. Thermal-hydraulic passive system reliability-based design approach[J]. Reliability Engineering and System Safety，2007，92：1250-1257.
[10] DENG J. Structural reliability analysis for implicit performance function using radial basis function network[J]. International Journal of Solids and Structures，2006，43(11-12)：3255-3291.
[11] DENG J，GU D，LI X，et al. Structural reliability analysis for implicit performance function using artificial neural network[J]. Structural Safety，2005，27(1)：25-48.
[12] CHENG J，LI Q S，XIAO R. A new artificial neural network-based response surface method for Structural reliability analysis[J]. Probabilistic Engineering Mechanics，2008，23(1)：51-63.
[13] 吕震宙，李璐祎，宋述芳，等. 不确定性结构系统的重要性分析理论与求解方法[M]. 北京：科学出版社，2015.
 LÜ Zhenzhou，LI Luyi，SONG Shufang，et al. The important analysis theory and the solution method of the uncertainty structure system[M]. Beijing：Science Press，
 
 2015.
[14] 宋述芳，吕震宙. 基于鞍点估计及其改进法的可靠性灵敏度分析[J]. 力学学报，2011，43(1)：162-168.
 SONG Shufang，LÜ Zhenzhou. The reliability sensitivity analysis based on saddlepoint approximation and its improved method[J]. Journal of Mechanic，2011，43(1)：162-168.
[15] 张义民，朱丽莎，唐乐，等. 刚柔混合非线性转子系统的动态应力可靠性及可靠性灵敏度研究[J]. 机械工程学报，2011，47(2)：159-165.
 ZHANG Yimin，ZHU Lisha，TANG Le，et al. Dynamical stress reliability and sensitivity analysis of nonlinear rotor system with rigid-flexible structure[J]. Journal of Mechanical Engineering，2011，47(2)：159-165.
[16] 张兴武，刘金鑫，陈雪峰，等. 基于神经网络的薄壳多目标振动优化控制研究[J]. 机械工程学报，2016，52(9)：56-64.
 ZHANG Xingwu，LIU Jinxin，CHEN Xuefeng，et al. Neural network based multi-objective active vibration optimization method for shell structure[J]. Journal of Mechanical Engineering，2016，52(9)：56-64.
[17] 刘宇，李天翔，刘阔，等. 基于四阶矩法车削颤振可靠性研究[J]. 机械工程学报，2016，52(20)：193-200.
 LIU Yu，LI Tianxiang，LIU Kuo，et al. Chatter reliability of turning processing system based on fourth moment method[J]. Journal of Mechanical Engineering，2016，52(20)：193-200.
[18] 郭姣姣，刘伟，余知朴，等. 基于虚拟故障注入的液压系统性能仿真与优化[J]. 中国机械工程，2015，26(9)：1221-1226.
 GUO Jiaojiao，LIU Wei，YU Zhipu，et al. Simulation and optimization of the hydraulic system performance based on virtual fault injection[J]. China Mechanical Engineering，2015，26(9)：1221-1226.
[19] 李成功，和彦森. 液压系统建模与仿真分析[M]. 北京：航空工业出版社，2008.
 LI Chenggong，HE Yansen. Modeling and Simulation of hydraulic system[M]. Beijing：Aviation Industry Press，2008.
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