National Changhua University of Education Institutional Repository : Item 987654321/18347
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题名: Continuous Wavelet Transform Technique for Fault Signal Diagnosis of Internal Combustion Engines
作者: Wu, Jian-Da;Chen, Jien-Chen
贡献者: 車輛科技研究所
关键词: Fault signal diagnosis;Continuous wavelet transform;Digital signal processing
日期: 2006-06
上传时间: 2014-04-29T07:27:51Z
出版者: Elsevier Ltd
摘要: A fault signal diagnosis technique for internal combustion engines that uses a continuous wavelet transform algorithm is presented in this paper. The use of mechanical vibration and acoustic emission signals for fault diagnosis in rotating machinery has grown significantly due to advances in the progress of digital signal processing algorithms and implementation techniques. The conventional diagnosis technology using acoustic and vibration signals already exists in the form of techniques applying the time and frequency domain of signals, and analyzing the difference of signals in the spectrum. Unfortunately, in some applications the performance is limited, such as when a smearing problem arises at various rates of engine revolution, or when the signals caused by a damaged element are buried in broadband background noise. In the present study, a continuous wavelet transform technique for the fault signal diagnosis is proposed. In the experimental work, the proposed continuous wavelet algorithm was used for fault signal diagnosis in an internal combustion engine and its cooling system. The experimental results indicated that the proposed continuous wavelet transform technique is effective in fault signal diagnosis for both experimental cases. Furthermore, a characteristic analysis and experimental comparison of the vibration signal and acoustic emission signal analysis with the proposed algorithm are also presented in this report.
關聯: NDT & E International, 39(4): 304-311
显示于类别:[車輛科技研究所] 期刊論文

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