Vibration testing and analysis of motor based on virtual instrument

Motor is one of important equipments to convert electrical energy to mechanical energy in the modern production, and it plays an important role in modern industrial plants. In this work, virtual instrumentation and vibration analysis are applied to motor to monitor and detect various failures. Data acquisition, recording, cepstrum analysis algorithm based on autoregressive(AR) model and some other algorithms are done by using the LabVIEW programming language. Especially, in view of the electrical characteristics of the vibration signals, a method of power ceptrum analysis based on AR model is put forward. This method can eliminate the “Frequency ambiguity” phenomenon, and rapidly and accurately extract information needed for the spectrum.