The Analysis Of Bearing Fault Signal Based On LabVIEW

Sliding bearings represent the most important part in rotating machinery,and the bearings’ operation condition has an essential influence on the operating safety and reliability of the whole unit.It is therefore necessarily to monitor and diagnose the sliding bearing health condition in order to avoid serious problems that can lead to catastrophic machine failure.Various condition monitoring techniques are used for detection of sliding bearing faults.In this dissertation,vibration signal processing method is used to monitor and analyze the operation conditions of the sliding bearings,and the vibration signal collection,storage and processing systems are developed based on Lab VIEW and SQL Server database,which have regular data collection and storage functions.This paper firstly make a brief introduction of the main failure modes of the sliding bearing,their causes of formation and prevention measures.Subsequently,two common faults of sliding bearing are summarized and their mechanisms and fault features are analyzed,some methods to relieve or remove fault are also briefly introduced.Then the condition monitoring and fault diagnosis techniques for sliding bearings are explained,the methods used in this paper based on vibration signal are discribed in detail.Besides,the data collection and storage system and the vibration signal analysis and diagnosis system are developed by LabVIEW development platform.These two systems are described in detail,including the techniques they used and the functions they have.The vibration analysis module incluses amplitude spectrum analysis,cepstrum analysis,power spectrum analysis and orbit of shaft centerline analysis.Finally,analyze a set of sliding bearing’s vibration signal by the systems mentioned above,make a brief judgement of this sliding bearing,demonstrate that the systems we developed can be applied in engineering practice.