混合智能故障诊断与预示技术的应用进展

Advances in applications of hybrid intelligent fault diagnosis and prognosis technique

为了对大型复杂关键设备进行有效的状态监测和故障诊断,综合运用多种人工智能技术和现代信号处理方法的混合智能故障诊断与预示技术得到国内外学者的高度重视和广泛研究。在研究大量相关文献的基础上,概括了混合智能故障诊断与预示技术的广义内涵;综述了国内外研究现状;分析指出了当前研究中存在的关键问题;针对目前的研究现状和存在问题,最后讨论了混合智能故障诊断与预示技术的发展趋势。

In order to implement condition monitoring and fault diagnosis for large-scale,complex and key mechanical equipment effectively,hybrid intelligent fault diagnosis and prognosis technique by synthesizing and utilizing multiple artificial intelligent techniques and advanced signal processing methods,has been given high regard and studied widely by inland and overseas researchers.Based on investigating a good deal of relevant literatures,the extensive concept of the hybrid intelligent fault diagnosis and prognosis technique was introduced,the inland and overseas state-of-the art was reviewed,and the problems existing in present studies were also analyzed and pointed out.Finally,aiming at the state-of-the art and existing problems,the development trends of the hybrid intelligent fault diagnosis and prognosis technique were discussed.