Dsp Applied Research In Modern Machinery Fault Diagnosis Technology

Subjected to mechanical fault diagnosis analytic system, this thesis mainly includes basic mechanical fault diagnosis theories, fundamental algorithms of digital signal processing. All of the work is applied to study the hardware structure and software implement cored in DSP system.Firstly, the thesis introduces basic theories and application characteristics of modern fault diagnose techniques. Subsequently the digital signal processing techniques and processors are summarized. The following work primarily discusses mechanical fault mechanisms and diagnoses based on vibrant analysis. In the researches on signal processing, this thesis lays emphases on digital filter, resampling technique, FFT transform, order-ratio analysis, calculus arithmetic, correlation analysis, envelop analysis, cepstrum analysis, probability density analysis, spectrum subdivision technique and so on. On one hand as hardware of this diagnose system, the thesis completes A/D sampling module, human-machine interface based on DSP with CompactFlash card, and achieves reasonable interrupt setting. On the other hand as software, the thesis compiles codes which can perform file storage, character display, program loading, time-field analysis and frequency-field analysis.As a current focal research, DSP is applied in such wide fields as mechanical fault diagnosis, voice recognition, image compressing and so on. It is valuable and necessary for further researches on digital signal processing technique. In this thesis it is executed to accomplish the mechanical fault diagnosis system. This application also has the value of utility and reference for other applications and researches.