Informative wavelet algorithm in diesel engine diagnosis
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abstract
Informative wavelet methodology is applied for feature extraction and fault classification in a single-cylinder internal combustion engine. The extremely noisy, time-variant and transient vibration signals make wavelets highly suitable for analysis of such signals in diagnosis applications and can be used to obtain dynamic information about the machine conditions.
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Proceedings of the IEEE Internatinal Symposium on Intelligent Control