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Fault diagnosis in gears operating under non-stationary rotational speed using polar wavelet amplitude maps
Affiliation:1. Institute of Power Engines and Machine Laboratory, Dresden University of Technology, Dresden D-01062, Germany;2. Department of Applied Mechanics, Hanoi University of Technology, 1. Dai Co Viet Road, Hanoi, Viet Nam;1. Department of Earth Resources Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan;2. School of Energy Science and Engineering, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo, Henan 454-003, China;3. Endowed Research Lab. of Un-mined Mineral Resources and Energy Eng, Muroran Institute of Technology, Muroran 050-8585, Japan;4. Graduate School of Engineering, Muroran Institute of Technology, Muroran 050-8585, Japan;5. Division of Sustainable Resources Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan;6. Underground Resources Innovation Network, Kita 47 Higashi 17, Higashi-ku, Sapporo 007-0847, Japan;1. College of Mechanical Engineering, Chongqing University, Chongqing 400044, China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China;3. China North Vehicle Research Institute, Beijing 100072, China;1. School of Minerals Processing & Bioengineering, Central South University, No.932, South Lushan Road, Yuelu District, Changsha, Hunan, 410083, PR China;2. MCC Changtian International Engineering Co. LTD, No.7 Jieqing Road, Meixi Lake, Yuelu District, Changsha, Hunan, 410083, PR China;1. Institute of Sound and Vibration Research, University of Southampton, Southampton SO17 1BJ, UK;2. School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney 2052, Australia;3. Siemens Industry Software NV, Interleuvenlaan 68, B-3001 Leuven, Belgium
Abstract:This paper will attempt to analyse the effectiveness of the Continuous Wavelet Transform in vibro-acoustical diagnostics of gearboxes operating under non-stationary rotational speed. For this, a simple PC-software program for signal processing and extraction of diagnostic features was developed and tested. The objective of the program test is fault-detection, localisation, and assessment at helical spur gears. This includes improvements of the visual estimation of the WT-plots, especially by the task-specific balance of time- and frequency-resolution and by the display of the wavelet amplitude versus the rotational angle in polar coordinates. The following examples demonstrate the improvements in the detection of gear faults.
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