An improved simplex-based adaptive evolutionary digital filter and its application for fault detection of rolling element bearings

H Xiao; Y Shao; X Zhou; Steven Wilcox

doi:10.1016/j.measurement.2014.04.027

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An improved simplex-based adaptive evolutionary digital filter and its application for fault detection of rolling element bearings

Journal article

Peer reviewed

An improved simplex-based adaptive evolutionary digital filter and its application for fault detection of rolling element bearings

H Xiao, Y Shao, X Zhou and Steven Wilcox

Measurement, Vol.55, pp.25-32

2014

DOI: https://doi.org/10.1016/j.measurement.2014.04.027

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Abstract

Adaptive evolutionary filter

Fault detection

Fitness function

Simplex method

Variable evolutionary coefficients

Health

Linear programming

Convergence behaviors

Evolutionary rules

Fault characteristics

Fitness functions

Rolling Element Bearing

The de-noising performance and convergence behavior of the adaptive evolutionary digital filter (EDF) are restricted by the factors of constant evolutionary coefficients and taking the reciprocal of average energy of residual signal as the fitness function. In this paper, an improved adaptive evolutionary digital filter based on the simplex method (EDF-SM) is proposed to overcome the shortcomings of the original EDF. A new evolutionary rule was constructed by introducing the simplex-based mutating method and by then combining this with the original cloning and mating methods. The reciprocal of sample entropy was taken as the fitness function and variable evolutionary coefficients were employed. Numerical examples show that the proposed EDF-SM exhibits a higher convergence rate and a better de-noising behavior than the other EDFs. The effectiveness of the proposed method in discovering fault characteristics and detecting faults of rolling element bearings is supported using an experimental test. © 2014 Elsevier Ltd. All rights reserved.

Details

Title: An improved simplex-based adaptive evolutionary digital filter and its application for fault detection of rolling element bearings
Authors: H Xiao (Author) - University of Science and Technology Beijing
Y Shao (Author) - Chongqing University
X Zhou (Author) - Chongqing University
Steven Wilcox (Author) - University of Glamorgan
Publication details: Measurement, Vol.55, pp.25-32
Publisher: Elsevier BV
Date published: 2014
DOI: 10.1016/j.measurement.2014.04.027
ISSN: 0263-2241; 1873-412X; 0263-2241
Organisation Unit: Office of the Deputy Vice-Chancellor (Academic); University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99513907502621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Engineering, Multidisciplinary; Instruments & Instrumentation