@inproceedings{bc89972c548249d6976f75794d9425a9,
title = "The reciprocating compressor fault analysis based on ORSGWT",
abstract = "It can be found that the redundant second generation wavelet function had more accurate analysis ability compared with the other wavelets and wavelet packets through simulation signals analyses. The analyses of the industrial signals may be more difficult due to its complex character. The de-noising ability of the redundant second generation wavelet to the industrial noise was confirmed by comparing with wavelet packets. But the signal after de-noising still expresses confused and makes analysis difficult. The optimized redundant second generation wavelet transform (ORSGWT) method was established with Newton interpolation and scale thresholds. Then the fault signals of valve block gap being processed with ORSGWT method were smoother and more apparent about the fault characters comparing with the normal state signals.",
keywords = "De-noising analysis, Fault character, Fault signal, Optimized redundant second generation wavelet transform (ORSGWT)",
author = "Zhang, {Si Yang} and Wang, {Ri Xin} and Li, {Yong Bo} and Xu, {Min Qiang} and Cui, {Zi Qian}",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; 5th International Conference on Computing, Control and Industrial Engineering, CCIE 2014 ; Conference date: 25-10-2014 Through 26-10-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.1037.125",
language = "英语",
series = "Advanced Materials Research",
publisher = "Trans Tech Publications Ltd",
pages = "125--128",
editor = "Lianqing Yu and Q. Xu and Q. Xu and Lianqing Yu",
booktitle = "Development of Applied Engineering Sciences",
}