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首页> 外文期刊>Computing and informatics >ADAPTIVE FAULT DIAGNOSIS OF MOTORS USING COMPREHENSIVE LEARNING PARTICLE SWARM OPTIMIZER WITH FUZZY PETRI NET
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ADAPTIVE FAULT DIAGNOSIS OF MOTORS USING COMPREHENSIVE LEARNING PARTICLE SWARM OPTIMIZER WITH FUZZY PETRI NET

机译：采用综合学习粒子群优化器，采用模糊Petri网的汽车自适应故障诊断

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摘要

This study proposes and applies a comprehensive learning particle swarm optimization (CLPSO) fuzzy Petri net (FPN) algorithm, which is based on the CLPSO algorithm and FPN, to the fault diagnosis of a complex motor. First, the transition confidence is replaced by a Gaussian function to deal with the uncertainty of fault propagation. Then, according to the Petri net principle, a competition operator is introduced to improve the matrix reasoning. Finally, a CLPSO-FPN model for motor fault diagnosis is established based on the motor failure mechanism and fault characteristics. The CLPSO algorithm is used to generate the system parameters for fault diagnosis and to improve the adaptability and accuracy of fault diagnosis. This study considers the example of a three-phase asynchronous motor. The results show that the proposed algorithm can diagnose faults in this motor with satisfactory adaptability and accuracy compared with the traditional FPN algorithm. By establishing the system model, the fault propagation process of motors can be accurately and intuitively expressed, thus improving the fault treatment and equipment maintenance of motors.
机译：本研究提出并应用了全面的学习粒子群优化（CLPSO）模糊Petri网（FPN）算法，该算法基于CLPSO算法和FPN，对复杂电机的故障诊断。首先，通过高斯函数取代过渡置信来处理故障传播的不确定性。然后，根据培养的净原则，介绍了竞争运营商以提高矩阵推理。最后，基于电机故障机制和故障特性建立了用于电机故障诊断的CLPSO-FPN模型。 CLPSO算法用于生成故障诊断的系统参数，并提高故障诊断的适应性和准确性。本研究考虑了三相异步电动机的示例。结果表明，与传统FPN算法相比，该算法可以以满意的适应性和准确性诊断该电机中的故障。通过建立系统模型，可以准确地直观地表达电机的故障传播过程，从而改善电机的故障处理和设备维护。

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  • 来源
    《Computing and informatics》 |2020年第2期|246-263|共18页
  • 作者

    Cheng Xuezhen; Wang Changan; Li Jiming; Bai Xingzhen;

  • 作者单位

    Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Peoples R China;

    Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Peoples R China;

    Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Peoples R China;

    Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Fuzzy Petri net; CLPSO; fault diagnosis; motor; adaptive;

    机译：模糊Petri网;CLPSO;故障诊断;电机;自适应;

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