基于改进受限玻尔兹曼机的滚动轴承健康因子构建方法

TN911.72; 针对传统方法构建的健康因子各类性能指标不高、信息冗余的问题,提出一种基于改进受限玻尔兹曼机(restricted Boltzmann machine,RBM)的滚动轴承健康因子构建方法.首先,提取滚动轴承振动监测信号时域、频域特征组成物理健康因子集.其次,将RBM隐藏层节点数随时间变化斜率引入到正则化项中,提取物理健康因子集中的趋势性特征.最后,利用滚动轴承全寿命周期试验验证所提方法的有效性.实验结果表明,相对于主成分分析(principal component analysis,PCA)法、传统RBM虚拟健康因子构建方法,基于改进RBM构建的虚拟健康因子单调性分别提高17...

Full description

Saved in:
Bibliographic Details
Published in系统工程与电子技术 Vol. 45; no. 9; pp. 2979 - 2985
Main Authors 孙世岩, 张钢, 梁伟阁, 佘博, 田福庆
Format Journal Article
LanguageChinese
Published 海军工程大学兵器工程学院,湖北武汉430033 2023
Subjects
Online AccessGet full text
ISSN1001-506X
DOI10.12305/j.issn.1001-506X.2023.09.39

Cover

Abstract TN911.72; 针对传统方法构建的健康因子各类性能指标不高、信息冗余的问题,提出一种基于改进受限玻尔兹曼机(restricted Boltzmann machine,RBM)的滚动轴承健康因子构建方法.首先,提取滚动轴承振动监测信号时域、频域特征组成物理健康因子集.其次,将RBM隐藏层节点数随时间变化斜率引入到正则化项中,提取物理健康因子集中的趋势性特征.最后,利用滚动轴承全寿命周期试验验证所提方法的有效性.实验结果表明,相对于主成分分析(principal component analysis,PCA)法、传统RBM虚拟健康因子构建方法,基于改进RBM构建的虚拟健康因子单调性分别提高178.0%和33.3%,趋势性分别提高126.8%和16%,鲁棒性分别提高60%和6.02%.
AbstractList TN911.72; 针对传统方法构建的健康因子各类性能指标不高、信息冗余的问题,提出一种基于改进受限玻尔兹曼机(restricted Boltzmann machine,RBM)的滚动轴承健康因子构建方法.首先,提取滚动轴承振动监测信号时域、频域特征组成物理健康因子集.其次,将RBM隐藏层节点数随时间变化斜率引入到正则化项中,提取物理健康因子集中的趋势性特征.最后,利用滚动轴承全寿命周期试验验证所提方法的有效性.实验结果表明,相对于主成分分析(principal component analysis,PCA)法、传统RBM虚拟健康因子构建方法,基于改进RBM构建的虚拟健康因子单调性分别提高178.0%和33.3%,趋势性分别提高126.8%和16%,鲁棒性分别提高60%和6.02%.
Author 田福庆
梁伟阁
佘博
孙世岩
张钢
AuthorAffiliation 海军工程大学兵器工程学院,湖北武汉430033
AuthorAffiliation_xml – name: 海军工程大学兵器工程学院,湖北武汉430033
Author_FL SHE Bo
TIAN Fuqing
SUN Shiyan
ZHANG Gang
LIANG Weige
Author_FL_xml – sequence: 1
  fullname: SUN Shiyan
– sequence: 2
  fullname: ZHANG Gang
– sequence: 3
  fullname: LIANG Weige
– sequence: 4
  fullname: SHE Bo
– sequence: 5
  fullname: TIAN Fuqing
Author_xml – sequence: 1
  fullname: 孙世岩
– sequence: 2
  fullname: 张钢
– sequence: 3
  fullname: 梁伟阁
– sequence: 4
  fullname: 佘博
– sequence: 5
  fullname: 田福庆
BookMark eNo9j7tKA0EYRqeIYIx5Cyth139mdnZnSglqhICNgl3Y24QssgFH8dIJsdAipoiKWVEbwUYQFCQbJS_jTOJbqChWH5ziHL4ZVEhbaYzQHAYbEwpsIbGbSqU2BsAWA3fTJkCoDcKmooCK_3galZVqBsAw9Rh4ThFV9W3-kXdMbzAZZfrs8vOqO-4M9VNPHw9M9mau83G_bYZ9ffoweX8xJyN9dK_zV53d6ceuuWnrYW4uBub5fBZNSX9LxeW_LaGN5aX1StWqra2sVhZrlsLAhMVDzlzX8SUBj0jBieShwFEofFcylzmUS0mjOOaMYi5iKT0aST8KSAChw6KAltD8r3fPT6WfNupJa3c7_S7W93ca4UF0mKif7yCACvoF9nhvLA
ClassificationCodes TN911.72
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.12305/j.issn.1001-506X.2023.09.39
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
DocumentTitle_FL Construction method of rolling bearing health indicator based on enhanced restricted Boltzmann machine
EndPage 2985
ExternalDocumentID xtgcydzjs202309039
GrantInformation_xml – fundername: (国家自然科学基金); (海军工程大学自然科学基金资助课题)
  funderid: (国家自然科学基金); (海军工程大学自然科学基金资助课题)
GroupedDBID -0Y
2B.
4A8
5XA
5XJ
92E
92I
93N
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CUBFJ
CW9
PSX
TCJ
TGP
U1G
U5S
ID FETCH-LOGICAL-s1059-8c85664af2072f982f8c91dc9a6f565438ff3dee853189eff73dfadb2b0c45db3
ISSN 1001-506X
IngestDate Thu May 29 04:00:31 EDT 2025
IsPeerReviewed false
IsScholarly true
Issue 9
Keywords 滚动轴承
受限玻尔兹曼机
评估准则
health indicator
evaluation criterion
regularization
健康因子
rolling bearing
restricted Boltzmann machine(RBM)
正则化
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1059-8c85664af2072f982f8c91dc9a6f565438ff3dee853189eff73dfadb2b0c45db3
PageCount 7
ParticipantIDs wanfang_journals_xtgcydzjs202309039
PublicationCentury 2000
PublicationDate 2023
PublicationDateYYYYMMDD 2023-01-01
PublicationDate_xml – year: 2023
  text: 2023
PublicationDecade 2020
PublicationTitle 系统工程与电子技术
PublicationTitle_FL Systems Engineering and Electronics
PublicationYear 2023
Publisher 海军工程大学兵器工程学院,湖北武汉430033
Publisher_xml – name: 海军工程大学兵器工程学院,湖北武汉430033
SSID ssib051375074
ssib002263377
ssib001102898
ssib057620160
ssib023168126
ssib023646287
ssj0042237
Score 2.3558455
Snippet TN911.72; 针对传统方法构建的健康因子各类性能指标不高、信息冗余的问题,提出一种基于改进受限玻尔兹曼机(restricted Boltzmann...
SourceID wanfang
SourceType Aggregation Database
StartPage 2979
Title 基于改进受限玻尔兹曼机的滚动轴承健康因子构建方法
URI https://d.wanfangdata.com.cn/periodical/xtgcydzjs202309039
Volume 45
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR1Na9RAdOgHiB7ET_ymYOeYmkwymZnjZJtSxHqxhd7Kbj4qHlZwt6C9CfWgh9pDVWxFvQheBEFBulX6K_wHJq3_wvcmyWa1KlUo4XXmzfuc7LwXZuYRMh4lHOuXC8tPWGJ5gntWE-aO5ccqcVJYnzxzffHMdX96zrs6z-eHhr8O7Fpa6rYmouXfniv5H69CG_gVT8n-g2f7RKEBYPAvPMHD8DyQj2nIqZqigaahh08Z0tCnCmBFQ0mDKaoCxJEACBoqquDPpqFAzMB0BTbiIw43o3wcEjQM0DCUBVVA2cMWGAIwImuqpWExSQPTJRWywy6Ham4oaxoII2FAtY2AnjTcgXJoCHIkiCygxS-5By4tymFWETMKAI0orTACGC5AGbkIFEMGRn1p1BdGff4TO5BW2qVGur-TuUJR5WgQAQkzqtUgCtgCpQfDQQ-re3z4D5XFwQ0jFaCADE6N4qF5oA2tAoAe_MJSHH82b4NRm5fGkn7ps181BGE9qkUptfYrnxlVQQkt_zCqQDa-B4mZcS3YulBXNszM8Cs06HKouSzfLm4OKRcs3BLHbVMNsr-iFRd0lm-uGlyeVFG5pwx1mCrKJe1bRiEv5WYdRR4TfR4TaB28FthVdfjQ39R5t7sY3YuXb3UQCz__qWEyyoRw-AgZ1ZMz127UcTqGtQN5PuQArlsfiGZYTc2p8wIscuCzOo_gjguBbp23QM7M8KbEKgTzIOY1VZUqwQ-R8UqtK39Ryhzca6fN9uJAjDl7jBwtk8MxXbzpx8nQ8s0T5MjAlaEnyXT2qvett5qvb-3tbGaPn31_vra7up29X88ebOWbn_MXvd2NlXx7I3v0du_Lx_zhTnb_Tdb7lG2-zt6t5S9Xsu1e_nQr__DkFJmbCmcb01ZZDcXqYA5kyUhC6uU1U2YLlirJUhkpJ45U0085nhCXaerGSQLxtyNVkqbCjdNm3GItO_J43HJPk5H27XZyhoypBCYRS2yp_MhTKm16sS-F60S268UOE2fJ5dIOC-WvXWdhv3fPHQjrPDmMcPHV8gIZ6d5ZSi5CHN9tXSpnxQ962Lo1
linkProvider EBSCOhost
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E6%94%B9%E8%BF%9B%E5%8F%97%E9%99%90%E7%8E%BB%E5%B0%94%E5%85%B9%E6%9B%BC%E6%9C%BA%E7%9A%84%E6%BB%9A%E5%8A%A8%E8%BD%B4%E6%89%BF%E5%81%A5%E5%BA%B7%E5%9B%A0%E5%AD%90%E6%9E%84%E5%BB%BA%E6%96%B9%E6%B3%95&rft.jtitle=%E7%B3%BB%E7%BB%9F%E5%B7%A5%E7%A8%8B%E4%B8%8E%E7%94%B5%E5%AD%90%E6%8A%80%E6%9C%AF&rft.au=%E5%AD%99%E4%B8%96%E5%B2%A9&rft.au=%E5%BC%A0%E9%92%A2&rft.au=%E6%A2%81%E4%BC%9F%E9%98%81&rft.au=%E4%BD%98%E5%8D%9A&rft.date=2023&rft.pub=%E6%B5%B7%E5%86%9B%E5%B7%A5%E7%A8%8B%E5%A4%A7%E5%AD%A6%E5%85%B5%E5%99%A8%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2%2C%E6%B9%96%E5%8C%97%E6%AD%A6%E6%B1%89430033&rft.issn=1001-506X&rft.volume=45&rft.issue=9&rft.spage=2979&rft.epage=2985&rft_id=info:doi/10.12305%2Fj.issn.1001-506X.2023.09.39&rft.externalDocID=xtgcydzjs202309039
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fxtgcydzjs%2Fxtgcydzjs.jpg