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Rotating machinery as a major power plant , widely used in power generation , ship , aviation and other fields , and plays a vital role in the national economy . With the increasingly complex rotating machinery unit , the detection and control of its performance and status also becoming increasingly important. The event of a failure , tend to generate the error signal of the monitoring , improper control very serious consequences , thus rotating machinery fault diagnosis has become an important research topic . Rotating machinery fault diagnosis is an understanding and grasp the state of the machine during operation to determine whether the whole or partial state normal , early detection of faults and their causes , and technology forecast failure trends . The research focused on vibration signal processing - based fault diagnosis : ( 1 ) the use of laboratory equipment , vibration experiments , collecting different types of experimental data can provide data for the simulation . Specific examples of (2), the basic flow of the signal processing introduction of vibration signals , for example , signal processing . (3) the vibration signal based on wavelet analysis of the signal processing . Advantage of time-frequency analysis based on wavelet analysis , through simulation , the wavelet basis and the choice of the wavelet decomposition scales , come to the feasibility of the wavelet transform Breakdown Diagnosis and Treatment . (4 ) based on National Instruments (National Instrument, NI) hardware and software systems , according to the knowledge of the previous theoretical and simulation , structures vibration signal processing and fault diagnosis platform . This platform provides the theoretical support and instructions, and provides powerful tools and conditions as well as the subsequent improvement . In summary , the issues through background research , theoretical analysis , simulation platform suite of research and experimental validation , the proposed framework and method for rotating machinery fault diagnosis based on vibration signal processing , while future trends and directions in the method , has greater significance in engineering applications and prospects .
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