采煤机电动机故障诊断专家系统的研究与应用  

Research and Application of Expert System on Fault Diagnosis of Shearer Motor

作　　者：谢国民[1] 王灿祥[1] 佟莹[1] 

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105

出　　处：《信息与控制》2013年第3期358-363,共6页Information and Control

基　　金：国家自然科学基金资助项目(51274118);教育部博士点基金资助项目(200801470003)

摘　　要：为了能及时准确地发现采煤机电动机故障,快速地对电机故障进行诊断处理、减小损失,针对采煤机电动机中常见的滚动轴承故障特点,提出了一种新的故障类型诊断方法.通过优化小波参数有效地提取故障信号的频段特征,再利用改进的专家系统对所获特征进行辨识,诊断出具体故障类型,给出预警信息和维修策略.研究结果表明:采煤机电动机故障诊断专家系统能够正确判断滚动轴承常见故障,满足现场实时监控和故障预警要求,而且诊断结论符合现场实际.In order to diagnose faults of the shearer motors timely and accurately, and handle the motor faults quickly and to reduce losses, a new method is introduced to diagnose the specific type of fault based on the characteristics of common faults in roiling bearings which maintenances strategy is put forward and warning information is provided by means of optimizing the wavelet parameters to obtain frequency feature of the fault efficiently and these features are identified based on an improved expert system. The research results show that the expert system for fault diagnosis of shearer motor can correctly judge the common faults of rolling bearings and satisfy the requirements of real-time monitoring and fault warning, and the diagnostic conclusion is consistent with the actual site conditions.

关 键 词：小波变换 专家系统 滚动轴承 故障诊断 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]