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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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2018-01-01
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Series: | Jixie chuandong |
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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 |