Knocking recognition in engine vibration signal using the wavelet transform

[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis Pub Date : 1992-10-04 DOI:10.1109/TFTSA.1992.274166

F. Molinaro, Francis Castanie, A. Denjean

引用次数: 15

Abstract

The authors propose pattern recognition using wavelet parameters for detecting a physical signal, i.e., knocking, in engine vibration. It is shown that wavelet transform parameters of the vibration signal improve knocking detection, especially at high speed, for slow signal-to-noise ratio (SNR). The knocking signal is characterized by the sum of several resonance frequencies. This method should give good results for other signals which have the same characteristics.<>

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基于小波变换的发动机振动信号爆震识别

作者提出了一种基于小波参数的模式识别方法，用于检测发动机振动中的物理信号，即敲打信号。结果表明，在信噪比较低的情况下，振动信号的小波变换参数改善了敲打检测，特别是在高速下。敲击信号的特征是几个共振频率的和。对于具有相同特征的其他信号，这种方法应能得到很好的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

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