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, Rotating machinery applications occupy an important position in the modern industrial production. Rotating Machinery poor working conditions, long working hours, and prone to all kinds of faults. Rotor - bearing system as the core components of rotating machinery, its effective condition monitoring and fault diagnosis, timely detection and troubleshooting, can effectively ensure production safety, and greatly improve the efficiency of the use of machinery. Therefore, the rotor system of rotating machinery fault diagnosis research is of great significance. After years of development, the rotor system fault diagnosis technology has made great strides. However, the vast majority of studies of diagnostic technology and equipment to the accumulated experience and database based on the rotor system failure mechanism has not yet been fully reveal, and therefore its accuracy and precision has not yet reached the point of ideal. Shows that thorough research rotor system failure mechanism and effective diagnostic accuracy is a top priority. Researched the subject of the rotor system vibration fault analysis and diagnosis technology, mainly including the following aspects: one to study the mechanism of the rotor system failure, rotor system fault classification, summarized in detail several typical faults characteristics of the vibration signal in the case, including imbalance, misalignment, movement RUBBING bearing loose oil whirl and Oil Whip, provides a theoretical basis for fault diagnosis. Second, research the common vibration signal analysis and processing methods, as well as the time - frequency analysis techniques, including time-domain statistical feature parameters, correlation analysis; spectrum in the frequency domain analysis, analysis and coherent analysis of the power spectral density; when the short-term - in the frequency domain Fourier transform, wavelet analysis and the HHT change method. Respectively, to explore the validity and limitations of the various analytical methods, choose one of the more commonly used and achieve high efficiency of several applications in Matlab. Third, the experimental studies, the establishment of the rotor system test bed, and its rotor system vibration simulation modeling. To make the simulation results closer to the actual the initial imbalance quality of the experimental system identification, recognition results return model, in order to achieve the purpose of the model updating. The application of this model for numerical simulation, and the results are compared with experimentally measured signal, the confirmation of the model. IV axis orbit diagram, power spectrum, three-dimensional spectra, wavelet decomposition and HHT transform commonly used diagnostic algorithm diagnostic experimental rotor system vibration signal processing, the analysis results are compared with the theoretical characteristics to achieve the rotor system The fault diagnosis.
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