弱信号检测的研究进展

Jie Wang, Lu Yang, Long Gao, Q. Miao
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引用次数: 9

摘要

在机械状态监测中,弱信号是一类信噪比很低的信号。因此,有必要开发有效的方法来增强或从噪声信号中提取有用信息。这些方法旨在解决混合信号的去噪和分离问题。本文综述了当前微弱信号检测方法的研究进展,包括传统方法和新兴方法、线性方法和非线性方法。根据各种方法的优缺点,提出了各种方法的组合。最后,对弱信号检测技术的未来发展进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current progress on weak signal detection
In machinery condition monitoring, weak signal is a type of signal that has very low signal-to-noise ratio (SNR). Therefore, it is necessary to develop effective methods so as to enhance or extract useful information from the noisy signal. These methods aim to solve the problem of de-noising and separation of mixed-signal. This paper investigated the current progress on weak signal detection methods, including traditional and emerging, linear and non-linear methods. The combination of various methods is presented according to their advantages and disadvantages of these methods. In the end, the future development of weak signal detection technology is summarized.
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