Current Progress on Weak Signal Detection

被引：0

作者：

Wang, Jie ^{[1
]}

Yang, Lu ^{[1
]}

Gao, Long ^{[1
]}

Miao, Qiang ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Mech Elect & Ind Engn, Chengdu 611731, Sichuan, Peoples R China

来源：

PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (QR2MSE), VOLS I-IV | 2013年

关键词：

weak signal; detection method; signal-to-noise ratio; linear; non-linear; EMPIRICAL MODE DECOMPOSITION; BLIND SOURCE SEPARATION; LOCK-IN AMPLIFIER; STOCHASTIC RESONANCE; FAULT-DIAGNOSIS; NEURAL-NETWORKS; NOISE; TRANSFORM; IDENTIFICATION; ALGORITHM;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：1812 / 1818

页数：7

共 41 条

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