Differential evolution-based time domain decomposition method for multi-impact vibration signals of reciprocating machinery

To solve the problem of extracting the impact component from the complex time-domain vibration signal of reciprocating machinery vibration signals, a differential evolution (DE)-based time domain decomposition method is proposed to achieve adaptive extraction of impact components. The method establi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement science & technology 2025-01, Vol.36 (1), p.16148
Hauptverfasser: Dou, Quanli, Song, Yedong, Zhang, Zhenjing, Zhang, Jinjie
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 16148
container_title Measurement science & technology
container_volume 36
creator Dou, Quanli
Song, Yedong
Zhang, Zhenjing
Zhang, Jinjie
description To solve the problem of extracting the impact component from the complex time-domain vibration signal of reciprocating machinery vibration signals, a differential evolution (DE)-based time domain decomposition method is proposed to achieve adaptive extraction of impact components. The method establishes new decomposition window containing three adjustment parameters to adapt to multiple forms of impact components. Furthermore, with the optimization objectives of minimizing reconstruction loss, amplitude moment loss, and similarity loss, a decomposition parameter optimization algorithm based on DE is established to achieve the optimization process of decomposition parameters. The results of processing simulated and actual vibration signals of diesel engines show that the new method can adaptively and accurately identify the impact component and impact time center in the vibration component, with a signal reconstruction loss of less than 2.5% and a decomposition time of only 54.1 s.
doi_str_mv 10.1088/1361-6501/ad8cf7
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1361_6501_ad8cf7</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1088_1361_6501_ad8cf7</sourcerecordid><originalsourceid>FETCH-LOGICAL-c126t-f5394663da63c7e20eb26e240b106326885d89253ec4e27e4ff89d4bfa5cebf43</originalsourceid><addsrcrecordid>eNo9kEtLAzEYRYMoWKt7l_kD0TxmMpml1CcU3Oh6yCRf2shkMiRpofjn7VhxdeHew10chG4ZvWNUqXsmJCOypuxeW2Vcc4YW_9U5WtC2bgjlQlyiq5y_KKUNbdsF-n70zkGCsXg9YNjHYVd8HEmvM1hcfABsY9B-xBZMDFPMft5xgLKNFruYcNgNxRMfJm0K3vs-6V8i-82oh4yjwwmMn1I0x2Hc4KDN1o-QDtfowh0JuPnLJfp8fvpYvZL1-8vb6mFNDOOyEFeLtpJSWC2FaYBT6LkEXtGeUSm4VKq2quW1AFMBb6ByTrW26p2uDfSuEktET78mxZwTuG5KPuh06BjtZnndbKqbTXUneeIH-K1nGA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Differential evolution-based time domain decomposition method for multi-impact vibration signals of reciprocating machinery</title><source>Institute of Physics Journals</source><creator>Dou, Quanli ; Song, Yedong ; Zhang, Zhenjing ; Zhang, Jinjie</creator><creatorcontrib>Dou, Quanli ; Song, Yedong ; Zhang, Zhenjing ; Zhang, Jinjie</creatorcontrib><description>To solve the problem of extracting the impact component from the complex time-domain vibration signal of reciprocating machinery vibration signals, a differential evolution (DE)-based time domain decomposition method is proposed to achieve adaptive extraction of impact components. The method establishes new decomposition window containing three adjustment parameters to adapt to multiple forms of impact components. Furthermore, with the optimization objectives of minimizing reconstruction loss, amplitude moment loss, and similarity loss, a decomposition parameter optimization algorithm based on DE is established to achieve the optimization process of decomposition parameters. The results of processing simulated and actual vibration signals of diesel engines show that the new method can adaptively and accurately identify the impact component and impact time center in the vibration component, with a signal reconstruction loss of less than 2.5% and a decomposition time of only 54.1 s.</description><identifier>ISSN: 0957-0233</identifier><identifier>EISSN: 1361-6501</identifier><identifier>DOI: 10.1088/1361-6501/ad8cf7</identifier><language>eng</language><ispartof>Measurement science &amp; technology, 2025-01, Vol.36 (1), p.16148</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c126t-f5394663da63c7e20eb26e240b106326885d89253ec4e27e4ff89d4bfa5cebf43</cites><orcidid>0000-0001-9516-0127</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Dou, Quanli</creatorcontrib><creatorcontrib>Song, Yedong</creatorcontrib><creatorcontrib>Zhang, Zhenjing</creatorcontrib><creatorcontrib>Zhang, Jinjie</creatorcontrib><title>Differential evolution-based time domain decomposition method for multi-impact vibration signals of reciprocating machinery</title><title>Measurement science &amp; technology</title><description>To solve the problem of extracting the impact component from the complex time-domain vibration signal of reciprocating machinery vibration signals, a differential evolution (DE)-based time domain decomposition method is proposed to achieve adaptive extraction of impact components. The method establishes new decomposition window containing three adjustment parameters to adapt to multiple forms of impact components. Furthermore, with the optimization objectives of minimizing reconstruction loss, amplitude moment loss, and similarity loss, a decomposition parameter optimization algorithm based on DE is established to achieve the optimization process of decomposition parameters. The results of processing simulated and actual vibration signals of diesel engines show that the new method can adaptively and accurately identify the impact component and impact time center in the vibration component, with a signal reconstruction loss of less than 2.5% and a decomposition time of only 54.1 s.</description><issn>0957-0233</issn><issn>1361-6501</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNo9kEtLAzEYRYMoWKt7l_kD0TxmMpml1CcU3Oh6yCRf2shkMiRpofjn7VhxdeHew10chG4ZvWNUqXsmJCOypuxeW2Vcc4YW_9U5WtC2bgjlQlyiq5y_KKUNbdsF-n70zkGCsXg9YNjHYVd8HEmvM1hcfABsY9B-xBZMDFPMft5xgLKNFruYcNgNxRMfJm0K3vs-6V8i-82oh4yjwwmMn1I0x2Hc4KDN1o-QDtfowh0JuPnLJfp8fvpYvZL1-8vb6mFNDOOyEFeLtpJSWC2FaYBT6LkEXtGeUSm4VKq2quW1AFMBb6ByTrW26p2uDfSuEktET78mxZwTuG5KPuh06BjtZnndbKqbTXUneeIH-K1nGA</recordid><startdate>20250131</startdate><enddate>20250131</enddate><creator>Dou, Quanli</creator><creator>Song, Yedong</creator><creator>Zhang, Zhenjing</creator><creator>Zhang, Jinjie</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-9516-0127</orcidid></search><sort><creationdate>20250131</creationdate><title>Differential evolution-based time domain decomposition method for multi-impact vibration signals of reciprocating machinery</title><author>Dou, Quanli ; Song, Yedong ; Zhang, Zhenjing ; Zhang, Jinjie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c126t-f5394663da63c7e20eb26e240b106326885d89253ec4e27e4ff89d4bfa5cebf43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dou, Quanli</creatorcontrib><creatorcontrib>Song, Yedong</creatorcontrib><creatorcontrib>Zhang, Zhenjing</creatorcontrib><creatorcontrib>Zhang, Jinjie</creatorcontrib><collection>CrossRef</collection><jtitle>Measurement science &amp; technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dou, Quanli</au><au>Song, Yedong</au><au>Zhang, Zhenjing</au><au>Zhang, Jinjie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential evolution-based time domain decomposition method for multi-impact vibration signals of reciprocating machinery</atitle><jtitle>Measurement science &amp; technology</jtitle><date>2025-01-31</date><risdate>2025</risdate><volume>36</volume><issue>1</issue><spage>16148</spage><pages>16148-</pages><issn>0957-0233</issn><eissn>1361-6501</eissn><abstract>To solve the problem of extracting the impact component from the complex time-domain vibration signal of reciprocating machinery vibration signals, a differential evolution (DE)-based time domain decomposition method is proposed to achieve adaptive extraction of impact components. The method establishes new decomposition window containing three adjustment parameters to adapt to multiple forms of impact components. Furthermore, with the optimization objectives of minimizing reconstruction loss, amplitude moment loss, and similarity loss, a decomposition parameter optimization algorithm based on DE is established to achieve the optimization process of decomposition parameters. The results of processing simulated and actual vibration signals of diesel engines show that the new method can adaptively and accurately identify the impact component and impact time center in the vibration component, with a signal reconstruction loss of less than 2.5% and a decomposition time of only 54.1 s.</abstract><doi>10.1088/1361-6501/ad8cf7</doi><orcidid>https://orcid.org/0000-0001-9516-0127</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0957-0233
ispartof Measurement science & technology, 2025-01, Vol.36 (1), p.16148
issn 0957-0233
1361-6501
language eng
recordid cdi_crossref_primary_10_1088_1361_6501_ad8cf7
source Institute of Physics Journals
title Differential evolution-based time domain decomposition method for multi-impact vibration signals of reciprocating machinery
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T11%3A49%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Differential%20evolution-based%20time%20domain%20decomposition%20method%20for%20multi-impact%20vibration%20signals%20of%20reciprocating%20machinery&rft.jtitle=Measurement%20science%20&%20technology&rft.au=Dou,%20Quanli&rft.date=2025-01-31&rft.volume=36&rft.issue=1&rft.spage=16148&rft.pages=16148-&rft.issn=0957-0233&rft.eissn=1361-6501&rft_id=info:doi/10.1088/1361-6501/ad8cf7&rft_dat=%3Ccrossref%3E10_1088_1361_6501_ad8cf7%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true