The aim of this study is to diagnose irregular operations during the assembling of diesel engines through the analysis of the vibration signal. In this work, all the vibration signals were acquired from the engine block during cold test cycles at the end of the assembly line in sound and faulty conditions. In particular, three faulty engines having assembly defects artificially introduced one by one in the engines are considered. The fault diagnosis is based on the cyclostationary modelling of the signals. First of all, firstorder cyclostationarity is exploited through the analysis of the Time Synchronous Averaging (TSA). Subsequently, second-order cyclostationarity is developed by means of the mean instantaneous power, Wigner-Ville Distribution (WVD) and Wigner-Ville Spectrum (WVS). These results were also applied to extract specific statistics dedicated to the detection of different simulated faults. © 2008 by the Katholieke Universiteit Leuven Department of Mechanical Engineering Al...
Use of the cyclostationary modelling for the diagnosis of assembly faults in i.c. engine cold tests
DELVECCHIO, Simone;D'ELIA, Gianluca;CAVALLARI, Marco;DALPIAZ, Giorgio
2008
Abstract
The aim of this study is to diagnose irregular operations during the assembling of diesel engines through the analysis of the vibration signal. In this work, all the vibration signals were acquired from the engine block during cold test cycles at the end of the assembly line in sound and faulty conditions. In particular, three faulty engines having assembly defects artificially introduced one by one in the engines are considered. The fault diagnosis is based on the cyclostationary modelling of the signals. First of all, firstorder cyclostationarity is exploited through the analysis of the Time Synchronous Averaging (TSA). Subsequently, second-order cyclostationarity is developed by means of the mean instantaneous power, Wigner-Ville Distribution (WVD) and Wigner-Ville Spectrum (WVS). These results were also applied to extract specific statistics dedicated to the detection of different simulated faults. © 2008 by the Katholieke Universiteit Leuven Department of Mechanical Engineering Al...I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
