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

doi:10.3969/j.issn.1004-132X.2021.05.015

中国机械工程

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.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

出版日期:2021-03-10 发布日期:2021-03-17
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）

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.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

摘要/Abstract

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

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

中图分类号:

TK427

江志农1;王子嘉1;张进杰2;黄翼飞3;茆志伟2. 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, DOI: 10.3969/j.issn.1004-132X.2021.05.015.

JIANG Zhinong1;WANG Zijia1;ZHANG Jinjie2;Huang Yifei3;MAO Zhiwei2. Fault Diagnosis Method of EDG in Nuclear Power Plants Based on Energy Operator Gradient Neighborhood Feature Extraction[J]. China Mechanical Engineering, DOI: 10.3969/j.issn.1004-132X.2021.05.015.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.cmemo.org.cn/CN/10.3969/j.issn.1004-132X.2021.05.015

http://www.cmemo.org.cn/CN/Y2021/V32/I05/617

参考文献

［1］张力. 日本福岛核电站事故对安全科学的启示［J］. 中国安全科学学报, 2011, 21(4):3.
ZHANG Li. The Enlightenment of Fukushima Nuclear Power Plant Accident to Safety Science［J］. China Safety Science Journal, 2011, 21(4):3.
［2］DELVECCHIO S, BONFIGLIO P, POMPOLI F. Vibro-acoustic Condition Monitoring of Internal Combustion Engines:a Critical Review of Existing Techniques［J］. Mechanical Systems and Signal Processing, 2018, 99:661-683.
［3］FTOUTOU E, CHOUCHANE M, BESBS N. Internal Combustion Engine Valve Clearance Fault Classification Using Multivariate Analysis of Variance and Discriminant Analysis［J］. Transactions of the Institute of Measurement & Control, 2012, 34:566-577.
［4］牟伟杰，石林锁，蔡艳平，等. 基于EMD-WVD与LNMF的内燃机故障诊断［J］. 振动与冲击, 2016, 35(23):191-196.
MU Weijie, SHI Linsuo, CAI Yanping, et al. IC Engine Fault Diagnosis Method Based on EMD-WVD and LNMF［J］. Journal of Vibration and Shock, 2016, 35(23):191-196.
［5］牟伟杰，石林锁，蔡艳平，等. 基于KVMD-PWVD与LNMF的内燃机振动谱图像识别诊断方法［J］. 振动与冲击, 2017, 36(2):45-51.
MU Weijie, SHI Linsuo, CAI Yanping, et al. IC Engine Fault Diagnosis Method Based on KVMD-PWVD and LNMF［J］. Journal of Vibration and Shock, 2017, 36(2):45-51.
［6］FLETT J, BONE G M. Fault Detection and Diagnosis of Diesel Engine Valve Trains［J］. Mechanical Systems & Signal Processing, 2015, 72/73:316-327.
［7］吴震宇, 袁惠群. 蚁群支持向量机在内燃机故障诊断中的应用研究［J］. 振动与冲击, 2009, 28(3):83-86.
WU Zhenyu, YUAN Huiqun. Fault Diagnosis of an Engine with an Ant Colony Support Vector Machine［J］. Journal of Vibration and Shock, 2009, 28(3):83-86.
［8］WANG C, ZHANG Y, ZHONG Z. Fault Diagnosis for Diesel Valve Trains Based on Time-Frequency Images［J］. Mechanical Systems & Signal Processing, 2008, 22:1981-1993.
［9］WANG Q, ZHANG Y, LEI C, et al. Fault Diagnosis for Diesel Valve Trains Based on Non-negative Matrix Factorization and Neural Network Ensemble［J］. Mechanical Systems & Signal Processing, 2009, 23(5):1683-1695.
［10］JIANG Z N, MAO Z W, ZHANG Y, et al. A Study on Dynamic Response and Diagnosis Method of the Wear on Connecting Rod Bush［J］. Journal of Failure Analysis and Prevention, 2017, 17:812-822.
［11］JIANG J, GU F, GENNISH R, et al. Monitoring of Diesel Engine Combustions Based on the Acoustic Source Characterisation of the Exhaust System［J］. Mechanical Systems & Signal Processing, 2008, 22(6):1465-1480.
［12］李阳龙，王立勇，栾忠权，等. 基于振动时频域特征的气门间隙故障诊断［J］. 石油机械, 2014, 42(9):48-51.
LI Yanglong, WANG Liyong, LUAN Zhongquan, et al. Fault Diagnosis of Valve Clearance Based on Time-domain Characteristics of Vibration［J］. China Petroleum Machinery, 2014, 42(9):48-51.
［13］费红姿，张松娟，刘龙，等. 柴油机气门故障特征提取方法研究［J］. 内燃机工程, 2016, 37(2):145-150.
FEI Hongzi, ZHANG Songjuan, LIU Long, et al. Study on Feature Extraction for Diesel Engine Valve Faults［J］. Chinese Internal Combustion Engine Engineering, 2016, 37(2):145-150.
［14］蔡艳平，李艾华，何艳萍，等. 基于振动谱时频图像特征及SVM 参数同步优化识别的内燃机故障诊断［J］. 内燃机学报, 2012, 30(4):377-383.
CAI Yanping, LI Aihua, HE Yanping, et al. IC Fault Diagnosis Method Based on Vibration Spectrum Time-Frequency Image Feature and SVM Parameters Synchronization Optimization Recognition［J］. Transactions of CSICE, 2012, 30(4):377-383.
［15］高安津. 内燃机配气系统动力学计算与仿真［D］.上海:上海交通大学, 2007.
GAO Anjin. Dynamic Calculation and Simulation of Internal Combustion Engine Valve-train System［D］. Shanghai:Shanghai Jiao Tong University, 2007.

[1]	丛建臣, 倪培相, 孙军, 吕世杰. 内燃机曲轴扭转疲劳强度试验研究与分析[J]. 中国机械工程, 2022, 33(18): 2197-2204.
[2]	江志农1;茆志伟1;王子嘉2;包彬彬3;张进杰2. 基于振动监测的应急柴油机启动性能分析方法[J]. 中国机械工程, 2019, 30(08): 912-918.
[3]	许翔;刘瑞林;董素荣;刘刚. 车用柴油机高原性能模拟试验及性能提升策略[J]. 中国机械工程, 2013, 24(17): 2403-2407.
[4]	庄继晖, 谢, 辉, 李苏苏, 朱仲文. 基于ASAP架构的发动机ECU标定系统开发 [J]. 中国机械工程, 2012, 23(2): 199-203.

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

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

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics