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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
引用本文:江志农,王子嘉,张进杰,黄翼飞,茆志伟. 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[J]. 中国机械工程, 2021, 32(5): 617-623. DOI: 10.3969/j.issn.1004-132X.2021.05.015
作者姓名:江志农  王子嘉  张进杰  黄翼飞  茆志伟
作者单位: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,北京,1000292.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,北京,1000293.北京博华安创科技有限公司,北京,101399
基金项目: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)
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...

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

Fault Diagnosis Method of EDG in Nuclear Power Plants Based on Energy Operator Gradient Neighborhood Feature Extraction
JIANG Zhinong,WANG Zijia,ZHANG Jinjie,Huang Yifei,MAO Zhiwei. Fault Diagnosis Method of EDG in Nuclear Power Plants Based on Energy Operator Gradient Neighborhood Feature Extraction[J]. China Mechanical Engineering, 2021, 32(5): 617-623. DOI: 10.3969/j.issn.1004-132X.2021.05.015
Authors:JIANG Zhinong  WANG Zijia  ZHANG Jinjie  Huang Yifei  MAO Zhiwei
Affiliation:1.Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery,Beijing University of Chemical Technology,Beijing,1000292.Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education,Beijing University of Chemical Technology,Beijing,1000293.Beijing Bohua Anchuang Technology Co.,Ltd.,Beijing,101399
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.
Keywords:emergency diesel generator(EDG)   valve clearance fault   shock identification   vibration feature extraction  
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