Title :
Diesel Engine Fault Diagnosis and Denoising Disposal of the Vibration Signals Based on EMD Method
Author :
Jiqiu Tan ; Jie Min ; Xin Wu
Author_Institution :
Dept. of Mech. Eng., Hunan Inst. of Eng., Xiangtan, China
Abstract :
With characteristics analysis of the vibration signal from the diesel engine, a new method for identifying the characteristic frequency band is put forward by adopting its IMF component. The diesel engine vibration signals are disposed by using EMD method and the IMF components with respond to the main interference factors is eliminated. Then, the true vibration signal from diesel engine could be gotten by reconstructing the remaining IMF components, and the working state could be estimated combing with the history condition of the diesel engine. The test results showed that the being reconstructed signal can reflect the true trend of the fuselage vibration for the diesel engine.
Keywords :
condition monitoring; diesel engines; fault diagnosis; mechanical engineering computing; signal denoising; signal reconstruction; vibrations; EMD method; IMF component; diesel engine fault diagnosis; empirical mode decomposition; fuselage vibration; interference factors; intrinsic mode functions; signal reconstruction; vibration signal denoising disposal; Automation; Manufacturing; Denoising disposal; Diesel engine; EMD; Fault diagnosis; IMF component;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.115
