Title :
Current progress on weak signal detection
Author :
Jie Wang ; Lu Yang ; Long Gao ; Qiang Miao
Author_Institution :
Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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.
Keywords :
signal denoising; signal detection; SNR; current progress; denoising problem; machinery condition monitoring; mixed signal separation; noisy signal; nonlinear methods; signal detection technology; signal-to-noise ratio; weak signal detection; Fault diagnosis; Oscillators; Signal detection; Signal processing algorithms; Signal to noise ratio; Wavelet transforms; detection method; linear; non-linear; signal-to-noise ratio; weak signal;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625929