DETECTION OF THE GEAR FAULT VIA ACOUSTIC EMISSION USING FEATURES AND WAVELET TRANSFORM
Vibration analysis is widely used in machinery diagnosis and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local fault, in gearboxes using the wavelet transform. And also the Hilbert transform is used to calculate the features.Therefore, in this paper, the signal of acoustic emission (AE) were detected around rolling element bearing which was installed beside the driven (connected with motor shaft) of the gearbox. And then, during signal processing, the Hilbert and Wavelet transform were performed to detect the crack occurred in gearboxes by using Acoustic Emission signal.
Acoustic Emission Features Hilbert Transform Gearbox Signal Processing Wavelet Transform
Jeong Hwan Lee Dong Sik Gu Young Seok Jang Byeong Keun Choi Won Cheol Kim Jong Duk Son Bo Suk Yang Achmad Widodo
Mechanical Precission the Engineering, Gyeongsang National University, 445 Inpyeong-dong, Tongyeong School of Mechanical Engineering, Pukyeong National University, san 100 Yongdang-dong, Nam-gu, Busan
国际会议
北京
英文
846-852
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）