Search:
Computing and Library Services - delivering an inspiring information environment

The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting

Jiang, Kuosheng, Xu, Guanghua, Liang, Lin, Tao, Tangfei and Gu, Fengshou (2014) The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting. Sensors, 14 (8). pp. 13692-13707. ISSN 1424-8220

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (9MB) | Preview

Abstract

In this paper a stochastic resonance (SR)-based method for recovering weak impulsive signals is developed for quantitative diagnosis of faults in rotating machinery. It was shown in theory that weak impulsive signals follow the mechanism of SR, but the SR produces a nonlinear distortion of the shape of the impulsive signal. To eliminate the distortion a moving least squares fitting method is introduced to reconstruct the signal from the output of the SR process. This proposed method is verified by comparing its detection results with that of a morphological filter based on both simulated and experimental signals. The experimental results show that the background noise is suppressed effectively and the key features of impulsive signals are reconstructed with a good degree of accuracy, which leads to an accurate diagnosis of faults in roller bearings in a run-to failure test.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Cherry Edmunds
Date Deposited: 30 Jul 2014 10:17
Last Modified: 01 Dec 2016 14:33
URI: http://eprints.hud.ac.uk/id/eprint/21277

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©