Comparison and Analysis of the Monte Carlo Simulation and GO Method for the Reliability of Equipment System

被引：0
|
作者：
Ren, Xin [1 ,2 ]
机构：
[1] Natl Def Univ, Grad Sch, Beijing 100091, Peoples R China
[2] Naval Med Res Inst, Med Protect Lab, Shanghai 200433, Peoples R China
来源：
Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE) | 2016年 / 69卷
关键词：
equipment; fault diagnosis; BP neural network; genetic algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Aiming at the problems of traditional BP neural network in fault diagnosis of equipment, the genetic algorithm is introduced to optimize the network, and the fault diagnosis model of equipment is established. The modeling ideas and considerations are introduced in detail, and the simulation calculation is carried out. The results show that the improved network has a good approximation performance, the training speed and accuracy are greatly improved, and it can be better to carry out fault diagnosis of equipment.
引用
收藏
页码：24 / 27
页数：4
相关论文
共 50 条
  • [1] System reliability analysis by enhanced Monte Carlo simulation
    Naess, A.
    Leira, B. J.
    Batsevychc, O.
    STRUCTURAL SAFETY, 2009, 31 (05) : 349 - 355
  • [2] System reliability evaluation using the Monte Carlo simulation method
    Liang, X
    Goel, L
    ELECTRIC POWER SYSTEMS RESEARCH, 1997, 40 (02) : 75 - 83
  • [3] ESTIMATION OF SYSTEM RELIABILITY BY MONTE CARLO SIMULATION
    Naess, A.
    Leira, B. J.
    Batsevych, O.
    OMAE 2009, VOL 2: STRUCTURES, SAFETY AND RELIABILITY, 2009, : 421 - 426
  • [4] Integration of functional reliability analysis and system hardware reliability through Monte Carlo simulation
    Ramakrishnan, M.
    ANNALS OF NUCLEAR ENERGY, 2016, 95 : 54 - 63
  • [5] Parallel Monte Carlo simulation for reliability and cost evaluation of equipment and systems
    Ge, Haifeng
    Asgarpoor, Sohrab
    ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (02) : 347 - 356
  • [6] Subtransmission system reliability worth assessment using the Monte Carlo simulation method
    Ou, Y
    Goel, L
    IEEE POWER ENGINEERING SOCIETY - 1999 WINTER MEETING, VOLS 1 AND 2, 1999, : 1171 - 1176
  • [7] Reliability Assessment of Active Distribution System Using Monte Carlo Simulation Method
    Ge, Shaoyun
    Xu, Li
    Liu, Hong
    Zhao, Mingxin
    JOURNAL OF APPLIED MATHEMATICS, 2014,
  • [8] ADJOINT MONTE-CARLO METHOD FOR RELIABILITY ANALYSIS OF A MARKOV SYSTEM
    BUSLIK, AJ
    TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 1975, 22 (NOV16): : 285 - 286
  • [9] Slope reliability analysis based on Monte Carlo simulation and sparse grid method
    WU Guoxue
    PENG Yijin
    LIU Xuesong
    HU Tao
    WU Hao
    Global Geology, 2019, 22 (03) : 152 - 158
  • [10] Reliability Analysis of Space Structures Using Monte-Carlo Simulation Method
    Gordini, M.
    Habibi, M. R.
    Tavana, M. H.
    TahamouliRoudsari, M.
    Amiri, M.
    STRUCTURES, 2018, 14 : 209 - 219
12345