冶金设备故障诊断方法的探究和展望

Discuss on Fault Diagnosis Method of Metallurgical Equipment and Prospect

阐述了当前冶金行业设备故障诊断的方法，针对其存在的问题，从检测方法和系统功能集成两方面展望了故障诊断的发展方向；小波变换在处理瞬态冲击信号方面较常规傅里叶变换有非常明显的优势，能够在时频域准确地提取冲击类故障特征；并引入专家系统，通过学习设备的故障知识库，形成一套判断基准，实现对设备状态的智能识别。

Aiming at the problems existing in the fault diagnosis system of current metallurgical industry equipment, propose improvement assuming from the aspects of detecting method and integrat- ed function system. Comparing with the relatively common fourier transform, the wavelet transform has an obvious advantage for the treating of transient impulse signal, which can extract the feature of impact fault in time-frequency domain. Through introducing an expert system and studying the fault feature li- brary of common equipment, form a set of judging criteria. Thus, the intellectual recognition of equip- ment status is realized.