Piston Pin Fault Detection Using A-AWH Algorithm

Abstract

Engine vibration signal contains significant noise. It always is unstable in the time domain. It's difficult to detect the piston pin with improper eccentricity using vibration signal features. For improving the effectiveness of fault detection, a new algorithm using Angle domain synchronous average. Wavelet packet analysis and Hilbert transform (A-AWH) is proposed, which mainly contains: the method of equal angle sampling is adopted to acquire the rotational vibration signal from an engine; To acquire de-noised signal, the algorithm of angle domain synchronous average is then used; and the de-noise signal are processed by wavelet packet analysis; finally, the angle domain fault features are extracted by Hilbert transform. The effectiveness of the A-AWH algorithm is verified by applying it to the signals recorded from the engine with an eccentric piston pin. With this algorithm, some useful features can be extracted from the vibration signal, which demonstrates that the A-AWH algorithm can provide a new approach of engine faults detection.