China Mechanical Engineering

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Fault Diagnosis Method of EDG in Nuclear Power Plants Based on Energy Operator Gradient Neighborhood Feature Extraction

JIANG Zhinong1;WANG Zijia1;ZHANG Jinjie2;Huang Yifei3;MAO Zhiwei2   

  1. 1.Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery,Beijing University of Chemical Technology,Beijing,100029
    2.Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education,Beijing University of Chemical Technology,Beijing,100029
    3.Beijing Bohua Anchuang Technology Co.,Ltd.,Beijing,101399
  • Online:2021-03-10 Published:2021-03-17

基于能量算子梯度邻域特征提取的核电应急柴油发电机组故障诊断方法

江志农1;王子嘉1;张进杰2;黄翼飞3;茆志伟2   

  1. 1.北京化工大学高端机械装备健康监控与自愈化北京市重点实验室,北京,100029
    2.北京化工大学发动机健康监控及网络化教育部重点实验室,北京,100029
    3.北京博华安创科技有限公司,北京,101399
  • 基金资助:
    国家重点研发计划(2016YFF0203305);
    中央高校基本科研业务费专项资金(JD1912/ZY1940);
    双一流建设专项经费(ZD1601)

Abstract: Valve clearance fault was a typical EDG faul that might lead to degradation in performance, mechanical faults, et al. The traditional methods of manually unpacking and checking the valve clearance were time-consuming and laborious. Using the transient vibration identification ability of Teager energy operator and the variation law of vibration shock energy, an online diagnostic method was proposed for valve clearance faults in EDG based on k-th maxima on Teager energy operator gradient(k-TEOG) adaptive and accurate extraction of vibration shock starting points. The reference thresholds of fault recognition herein were EDG design parameters. Experiments on a 12-cylinder V-type diesel engine show that the proposed method may effectively diagnose valve failure and has the ability to track valve clearance. The research provides an effective new way for EDG online monitoring and diagnosis.

Key words: emergency diesel generator(EDG), valve clearance fault, shock identification, vibration feature extraction

摘要: 气门间隙故障作为应急柴油发电机组(EDG)的典型故障,容易导致性能下降、机械故障等,传统人工拆盖检查气门间隙的方式费时费力。利用Teager能量算子的瞬态振动识别能力,结合振动冲击能量变化规律,提出了一种基于能量算子梯度邻域的振动冲击始点自适应精确提取的EDG气门间隙故障在线诊断方法,该方法的故障识别参考阈值为EDG设计参数。在一台12缸V型柴油机上进行实验验证,结果表明该方法能够有效诊断气门故障,同时具备追踪气门间隙的能力。研究成果为EDG在线监测诊断提供了新途径。

关键词: 应急柴油发电机组, 气门间隙故障, 冲击识别, 振动特征提取

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