Vibration Signal Processing And Its Application In Machinery Fault Diagnosis

Signal processing is a key technique in the field of machinery fault diagnosis. It plays an important role in transforming the measured signal and extracting the sensitive symptom of the fault. How to effectively process the signals produced by machinery has become one of the crucial problems to be resolved. The goal of processing the signals is to clearly detect and reveal the symptom of the fault. From the viewpoint of this goal, we make the vibration signals as our object investigated, and this dissertation studies the theories, approaches and applications of signal detection and analysis. The main contents of this dissertation can be summarized as follows:Firstly, for quickly acquiring the exact phase of vibration signal in automatic balancing, a novel phase detection approach is proposed. This approach bases on the cross power spectrum estimation and phase compensation filtering.Secondly, we study on the integration of digital signals of acceleration sensors. We proposed a scheme that processes the discrete time signals by two-pass filter and digital integrator.Thirdly, we study the energy operator systematically and successfully use it in two important diagnosis methods (resonance demodulation and spike energy) as an envelope algorithm. This algorithm can replace the...