内燃机的状态检测与故障诊断成为机械设备诊断与状态检测技术研究的热点与难点。
The state detection and fault diagnosis of internal-combustion engine becomes hotspot and nodus on research of engine equipment diagnosis and state detection technology.
基于微粒分析的铁谱技术不仅可以用于磨损机理的研究，而且能对机械设备进行监测和故障诊断。
The iron spectrum is not only used in the study of wearing, but also to monitor the failure of construction machine.
介绍了油料分析的主要内容和方法，提出了实现煤矿机械设备状态监测和故障诊断的技术方案。
The paper introduces the main contents and the method of the fuel analysis technique and puts forward the technical scheme for monitoring and fault diagnosis which is realized in coal mine machinery.
介绍一种利用模糊控制理论及音谱分析技术对机械设备进行故障诊断的方法。
Introducing a new troubleshooting method using fuzzy control theory and sound spectrum analysis technique.
随着机械设备大型化、连续化、自动化程度的不断提高，对故障诊断技术的要求也越来越高。
With the mechanical equipment becoming larger, more continuous and more automatic, the technology of fault diagnosis has been demanded higher.
随着机械设备大型化、连续化、自动化程度的不断提高，对故障诊断技术的要求也越来越高。
With the mechanical equipment becoming larger, more continuous and more automatic, the technology of fault diagnosis has been demanded higher.
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