The Application of Lifting Wavelet Transform in the Fault Diagnosis of Reciprocating Air Compressor

Lifting algorithm gives a simple and effective method for the construction of orthogonal wavelet, which is no longer the Fourier transformation completely, but the obtained wavelet has all the advantages of the first generation. This article makes use of lifting wavelet transformation to de-noise the vibration signals of the air compressor sensor, and to diagnose effectively the fault of reciprocating compressor´s rotor dynamic balance fault, bearings, blade and other faults due to wear and tear, then to extract the failure symptom. The results show that using the lifting wavelet to decompose and reconstruct the fault signals, the reconstructed low-frequency signals can reflect the fault signal mutation or the transient characteristics of dynamic balance effectively, and extraction of rotor dynamic balance and blade´s characteristic frequency are evident, which provides a way to solve the engineering problems of incipient fault feature.