2014
DOI: 10.1109/itec-ap.2014.6940853
View full text
|
|
Share
Huimin Zhao, Jide Jia, Qingle Yang, Chun Chang

Abstract: The problem of concurrent fault diagnosis is one of the difficulties in diesel fault diagnosis because of the complex mechanism of the composite fault. A method combining the empirical mode decomposition (EMD) and autoregressive model (AR) spectrum is proposed and applied to the concurrent fault diagnosis of crankshaft bearing and connecting rod bearing. This method not only can overcome the estimation errors and windowing effects in Hilbert separation algorithm by means of extensive properties of AR spectrum…

expand abstract