机械设备故障诊断技术的常用方法及新技术的应用研究  

Research on common methods and application of new technology in fault diagnosis of mechanical equipment

作　　者：张婷婷[1] 贾铭钰[1] 

机构地区：[1]北京城市学院,北京101300

出　　处：《自动化与仪器仪表》2017年第10期38-39,42,共3页Automation & Instrumentation

摘　　要：故障诊断技术涵盖着多门学科的知识理论和许多方面的经验总结,其探索更是需要以上资源储备的综合运用,具体过程可分为以下阶段:故障机理分析、信号采集处理、数据分析和诊断决策推理,进而得到理论和实践的双重勘误。本文通过查阅机械设备故障诊断技术有关的文献资料,综合归纳了现有的探索进展,简要介绍了一般的故障数据采集和状态监测手段,并针对模糊理论、遗传算法等智慧型控制策略于故障诊断技术探索方面的利用方向与未来发展规划开展了广泛讨论,进一步明确了未来探索道路,即优化信号融合技术,增加网络集成化程度,利用智能决策诊断亮点,抬高容错控制程度。Fault diagnosis technology covers a multi- disciplinary knowledge theory and many aspects of the experience, the exploration is more comprehensive use of the above resources reserves, the process can be divided into the following stages：analysis of fault mechanism, signal processing, data analysis and diagnosis decision reasoning, and the theory and practice of double corrigendum. This paper on the fault diagnosis technology of mechanical equipment, summed up the existing research progress, briefly introduces general fault data acquisition and monitoring means, and to explore the use of fault diagnosis technology and the future development direction of planning to carry out extensive discussion of fuzzy theory, genetic algorithm and other intelligent control strategy further, a clear future ex- ploration of the road, which is to optimize the signal fusion technology, increase network integration degree, the highlight of intelligent decision diagnosis, fault tolerant control degree of elevation.

关 键 词：机械设备 故障诊断 人工智能 

分 类 号：TH17[机械工程—机械制造及自动化]