机械是国民经济建设中不可缺少的关键设备，对其故障诊断方法的研究具有重要意义．当前机械故障诊断的关键就是寻找使诊断结果准确的方法．从故障诊断的实际出发，根据设备提供信息的多样性及故障表征形式的复杂性，分析了故障诊断技术和信息融合技术相结合的特点，阐述了故障智能诊断的过程和与其相关的应用技术的关系；论述了故障信号采集与处理、故障智能诊断方法的研究．并对今后的发展方向进行了预测． Machinery is an indispensable key equipment in the national economic construction, and its research on fault diagnosis method is of great significance. The current key to troubleshooting mechanical problems is finding ways to make the diagnosis accurate. From the reality of fault diagnosis, according to the complexity of the information provided by equipment and the complexity of fault symptom, the characteristics of fault diagnosis and information fusion are analyzed, and the process of fault diagnosis and the related technology are described Relationship; discusses the fault signal acquisition and processing, intelligent fault diagnosis method. And forecast the future direction of development.