{"title":"A hybrid dual-frequency-informed spider net for RUL prognosis with adaptive IDP detection and outlier correction","authors":"","doi":"10.1016/j.ress.2024.110518","DOIUrl":null,"url":null,"abstract":"<div><div>The present study proposes a novel framework to estimate the Remaining Useful Life (RUL) of bearings operating under variable operating conditions, addressing two critical challenges: early detection of the Initial Degradation Point (IDP) in bearings and correction of outlier values. A unique Spider cell prediction unit with dual-frequency correction is proposed. Firstly, a generalized adaptive method is introduced for early IDP detection, leveraging the slope and intercept, along with coupled <em>t</em>-tests to formulate a \"sum of slopes\" index for detecting the IDP. Secondly, a degradation feature extraction method is introduced, which utilizes synchronous pseudo speed in combination with sliding window averaging. Outlier correction for degradation feature indicators is achieved using constructed boundary conditions. Thirdly, a variational mode decomposition layer is proposed to decompose the input sample into different mode function components. Finally, a novel RUL prediction correction module, where two types of frequency domain feature extractors with trainable parameters are designed to adjust the prediction results of the Spider net by capturing both global trend changes and local details.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":null,"pages":null},"PeriodicalIF":9.4000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832024005908","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
The present study proposes a novel framework to estimate the Remaining Useful Life (RUL) of bearings operating under variable operating conditions, addressing two critical challenges: early detection of the Initial Degradation Point (IDP) in bearings and correction of outlier values. A unique Spider cell prediction unit with dual-frequency correction is proposed. Firstly, a generalized adaptive method is introduced for early IDP detection, leveraging the slope and intercept, along with coupled t-tests to formulate a "sum of slopes" index for detecting the IDP. Secondly, a degradation feature extraction method is introduced, which utilizes synchronous pseudo speed in combination with sliding window averaging. Outlier correction for degradation feature indicators is achieved using constructed boundary conditions. Thirdly, a variational mode decomposition layer is proposed to decompose the input sample into different mode function components. Finally, a novel RUL prediction correction module, where two types of frequency domain feature extractors with trainable parameters are designed to adjust the prediction results of the Spider net by capturing both global trend changes and local details.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.