基于小波熵的电机故障诊断  

Diagnose Fault of Electormotor Based on Wavelet Entropy

作　　者：欧阳乾[1] 谷爱昱[1] OUYANG Qian, GU Ai-yu （Colledge of Automotion Guangdong Umversity of Technology, Guangzhou 510006, China）

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《电脑知识与技术》2009年第7期5322-5323,共2页Computer Knowledge and Technology

摘　　要：小波分析的方法为弱信号检测技术开辟了一条新途径，但小波变换对弱信号进行特征提取的关键在于确定小波系数的阈值．基于小波熵分析的方法能够在强噪声环境中对微弱信号准确定位，实现低能量的瞬变信号有效提取。仿真实验证明小波分析技术对电机声频故障诊断十分有效，有进一步的研究的必要，在电机的故障诊断方面小波有良好的应用前景。Wavelet analysis method is a new approach in weak signal detection.But a key question is how to determine the threshold of wavelet coefficients when wavelet transform is used to extract important inform ation of weak signals.Weak signal can be accurately located based on the proposed wavelet entropy method in high--noise surroundings,and the extraction of low--power,transient signal Call be effectively realized.Simulatione experiment indicates wavelet analysis is apphed to diagnose audio faults of electromotor,and it is necessary to research wavelet more,Wavelet has good foreground to diagnose dectromotor in the fault diagnosis of electormotor.

关 键 词：小波分析 小波熵 故障诊断 信号 阀值 

分 类 号：TP7[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]