Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A major challenge in fault diagnosis for rotary machines is the effective extraction of features from weak signals that are indicative of faulty components, submerged in strong noise. Unlike traditional techniques that focused on noise filtering and reduction, stochastic resonance (SR) takes a noise-assisted approach to detecting and analyzing weak signals. This paper presents a new method for weak signal detection, termed Dual-scale Cascaded Adaptive Stochastic Resonance (DuSCASR), in which the new adaptive strategy can quantify the frequency content of a weak signal without prior knowledge. Simulations and experiments have confirmed the effectiveness of the method in early stage bearing fault diagnosis under strong noise, with high precision and robustness.

Original languageEnglish
Title of host publication41st North American Manufacturing Research Conference 2013 - Transactions of the North American Manufacturing Research Institution of SME, NAMRC 2013
Pages284-291
Number of pages8
StatePublished - 2013
Externally publishedYes
Event41st North American Manufacturing Research Conference 2013, NAMRC 2013 - Madison, WI, United States
Duration: 10 Jun 201314 Jun 2013

Publication series

NameTransactions of the North American Manufacturing Research Institution of SME
Volume41
ISSN (Print)1047-3025

Conference

Conference41st North American Manufacturing Research Conference 2013, NAMRC 2013
Country/TerritoryUnited States
CityMadison, WI
Period10/06/1314/06/13

Keywords

  • Adaptive strategy
  • Frequency resolution
  • Noise-assisted method
  • Weak signal detection

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