Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation

In view of the similarity between transient components extraction from mechanical vibration signals and the significant speech information detection from noisy environment,a gear crack fault feature extraction method based on auditory attention mechanism is proposed. The saliency map calculation mod...

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Main Authors: Gao Hongbo, Wu Qingyang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.036
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author Gao Hongbo
Wu Qingyang
author_facet Gao Hongbo
Wu Qingyang
author_sort Gao Hongbo
collection DOAJ
description In view of the similarity between transient components extraction from mechanical vibration signals and the significant speech information detection from noisy environment,a gear crack fault feature extraction method based on auditory attention mechanism is proposed. The saliency map calculation model is introduced and improved combined with the characteristic of fault information. By frequency band division and processing,multiscale Gauss filtering,saliency calculation and integration,the transient impact components in fault signals are finally represented by auditory saliency maps. The effectiveness of the proposed method is verified by experiments with simulation and measured signals of gear crack fault.
format Article
id doaj-art-bacee93978ea4389801f2f987638e502
institution Kabale University
issn 1004-2539
language zho
publishDate 2018-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-bacee93978ea4389801f2f987638e5022025-01-10T14:41:08ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-014218318829938148Feature Extraction Method for Gear Crack Fault based on Auditory Saliency CalculationGao HongboWu QingyangIn view of the similarity between transient components extraction from mechanical vibration signals and the significant speech information detection from noisy environment,a gear crack fault feature extraction method based on auditory attention mechanism is proposed. The saliency map calculation model is introduced and improved combined with the characteristic of fault information. By frequency band division and processing,multiscale Gauss filtering,saliency calculation and integration,the transient impact components in fault signals are finally represented by auditory saliency maps. The effectiveness of the proposed method is verified by experiments with simulation and measured signals of gear crack fault.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.036Feature extractionFault diagnosisGear crackAuditory attentionSaliency map
spellingShingle Gao Hongbo
Wu Qingyang
Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation
Jixie chuandong
Feature extraction
Fault diagnosis
Gear crack
Auditory attention
Saliency map
title Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation
title_full Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation
title_fullStr Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation
title_full_unstemmed Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation
title_short Feature Extraction Method for Gear Crack Fault based on Auditory Saliency Calculation
title_sort feature extraction method for gear crack fault based on auditory saliency calculation
topic Feature extraction
Fault diagnosis
Gear crack
Auditory attention
Saliency map
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.08.036
work_keys_str_mv AT gaohongbo featureextractionmethodforgearcrackfaultbasedonauditorysaliencycalculation
AT wuqingyang featureextractionmethodforgearcrackfaultbasedonauditorysaliencycalculation