Fault Diagnosing Of Rotating Machine Based On Vibration Signal Processing

Rotating machine, a prime mover that widely used in power generation, ship propulsion, aviation and other fields, plays a very significant role in the national economy. The status monitoring and the fault diagnosing system are becoming more and more important with the increasing complexity of rotating machine units. Once a failure occurs, the error signal produced would lead the rotating machine engine to a false status that could result in serious consequences. Therefore, the health state detection and fault diagnosis of rotating machine have become an important research topic.Fault diagnosis for rotating machine is a technology to understand the state of the machine during operation to determine the overall or partial normal or abnormal,to find the reasons for the early detection of failure, and to forecast the development trend of fault.In the paper, the following work of vibration signal is done:(1)Laboratory equipment is used to conduct a vibration testing, the different types of experimental data are collected which provides data for simulation.(2)The basic process of signal processing were introduced, the vibration signal is taken for example to carry out signal processing in specific.(3)Wavelet analysis of vibration signals is carried out based on the the advantages of wavelet analysis in time-frequency analysis. Through simulation, wavelet base and scales of decomposition is chosen, and finally the feasibility of wavelet analysis for vibration signal processing is proved.(4)Based on National Instruments (National Instrument,NI) hardware and software systems,according to previous theory and simulation, vibration signal processing platform is build. This platform provides an effective support for theory,as well as to provide a powerful tool and condition for improvement.In summary,a fault detection and diagnosis framework and method is proposed for vibration signal through background study,theoretical analysis, simulation and calculation,platform building and experimental verification. The development trend and prospect of the method is also studied and it is concluded that the method is of great significance and prospects in engineering applications.