机械信号奇异熵研究

STUDY ON THE SINGULAR ENTROPY OF MECHANICAL SIGNAL

基于信号奇异值分解技术，提出了奇异熵的概念，并通过试验揭示了奇异熵在机械信号信息量评估、信息成分分析、信噪比估计，以及信号降噪技术等多方面的独特性能，从而充分展示了奇异熵在机械信号综合特性分析方面重要的科学价值。

A new concept, singular entropy of mechanical signal, is proposed based on the singular value decomposition technique. The peculiar properties of singular entropy in such fields as information quantity evaluation, information components analysis, estimation of signal noise ratio (RsN), noise cancellation, etc, are revealed by experiments, from which the important scientific value of singular entropy on the comprehensive analysis of signal is fully exhibited.