Study on the Engine Fault Detection by Signal Analysis

• Main Authors: Chih-Chao Hsu, 許智超
• Other Authors: Ru-Min Chao
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/48541659967342289540

碩士 === 國立成功大學 === 系統及船舶機電工程學系碩博士班 === 93 === 　This study focuses on using the development of an automobile engine fault detection system based on vibration measurement information. The entire system includes the vibration data acquisition and signal analyse capabilities. 　The system is realized by integrating the National Instrument measurement modules and the LabVIEW Software. In the detail of this work, we concentrate on the vibration behavior of the NG (No Good) engine of designated fault-inserts created by the engine factory. Several general purpose signal analysis procedures called time-domain-statistics RMS and Kurtosis, Fast Fourier Transform (FFT), dual channel analysis, and 1/3 Octave are performed in order to distinguish the difference of a normal (OK) car engine from the NGs. The results will be discussed. 　Finially, a photo-type of the preliminary engine fault detection system is presented, which can be used at the end of an engine assemble line to perform the earlier check of abnormal engine vibration. Future work is also suggested in order to increase the performance of such system.