基于小波包时频相平面图及局部非负矩阵分解的内燃机故障诊断研究  

IC Engine Fault Diagnosis Method Basedon Wavelet Packet Time-frequency Phase Plane Image and LNMF

作　　者：李永香 牟伟杰[3] 董峰 周国庆 雷鹏 李虎雨 LI Yong-xiang MOU Wei-jie DONG Feng ZHOU Guo-qing LEI Peng LI Hu-yu(Lanzhou Power Vehicle Research Institute Co. , Ltd. ,Lanzhou 730050, China National Quality Supervision and Inspection Center for internal combustion engine ,Lanzhou 730050, China Unit 68306 ,Xi＇an 710608, China)

机构地区：[1]兰州电源车辆研究所有限公司 [2]甘肃省内燃机电站工程技术研究中心 [3]68306部队

出　　处：《移动电源与车辆》2016年第2期41-46,共6页Movable Power Station & Vehicle

摘　　要：为实现内燃机气门间隙的自动识别,提出了一种基于小波包时频相平面图及局部非负矩阵分解的内燃机故障诊断方法。该方法首先采用小波包生成内燃机振动谱时频相平面图,然后针对传统非负矩阵分解非正交的基矩阵导致数据冗余性较大、不利于后续识别率提高的问题,提出采用局部非负矩阵分解的方法对生成的图形进行局部非负矩阵分解,提取出图像的代数特征值并进行故障诊断。对内燃机4种状态下信号的小波包时频相平面图的特征提取和故障分类结果表明,基于小波包时频相平面图与局部非负矩阵分解的方法对内燃机气门间隙的故障诊断的有效性。To achieve the automatic identification of the internal combustion engine valve clearance, a ne fault diagnosis method based on the wavelet packet time-frequency phase plan image and Local nonnegative matrix factorization was proposed. The method uses wavelet packet to generate the time-frequency phase plane image of ICE vibration spectrum and a new method of local non-negative matrix factorization is directly used for feature extraction, because of the traditional NMF non-orthogonal basis matrix result in data redundancy is large, and it is not conducive to subsequent recognition rate of issue. The application to the practical internal combustion fault diagnosis has revealed that the LNMF algorithm classification accuracy is better than traditional NMF algorithm.

关 键 词：内燃机 故障诊断 小波包时频相平面图 特征提取 局部非负矩阵分解 

分 类 号：TM611.2[电气工程—电力系统及自动化]