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Proceedings Paper

The new optimizing demodulation method of energy operator arithmetic and its comparison to Hilbert transformation
Author(s): Min Wu; Ge Zhu; DongLin Peng
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Paper Abstract

The current main research aim of fault diagnosis is to find a new method which have more excellent integrated ability in such aspects as precision, sensitivity, reliability and compact algorithm and so on. Be enlightened from some phenomena on the analysis of the generating mechanism of speech signal, the energy operator separation algorithm (EOSA) is put forward as a new demodulation method. This approach uses a nonlinear differential operator, through optimizing difference equation: Choosing the unit impulse response length of filter and fixing the weighting coefficient for input points, a new approach that the optimizing energy operator separation algorithm (OEOSA) is obtained, and been compared with Hilbert transformation, finally, draw the conclusion that this arithmetic is a simple, fast, exact and instantaneousness strong method, Since Hilbert transformation could be applied to demodulation analysis for mechanical signal, so it provide this method could also be applicable for detecting machine equipment.

Paper Details

Date Published: 25 October 2006
PDF: 6 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 62802K (25 October 2006); doi: 10.1117/12.716549
Show Author Affiliations
Min Wu, Chongqing Institute of Technology (China)
Ge Zhu, Chongqing Institute of Technology (China)
DongLin Peng, Chongqing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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