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First, a closed-loop performance index of the motor system is derived incorporating the multiple slow time-varying characteristic of motor parameters. On this basis, the drift coefficient and diffusion coefficient of the Wiener degradation model are updated to obtain the prior maximum likelihood function with available historical data. It is followed by the iterative optimization of nonlinear feature parameter in the Wiener degradation model with taking the prior maximum likelihood function as the cost equation. The effectiveness of proposed remaining useful life prediction architecture for closed-loop motor systems is demonstrated by motor systems. <\/jats:p>","DOI":"10.1177\/09596518231199770","type":"journal-article","created":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T08:31:43Z","timestamp":1699518703000},"page":"3-15","update-policy":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Remaining useful life prediction for motor systems by iteratively updated wiener process based on closed-loop performance degradation monitoring"],"prefix":"10.1177","volume":"238","author":[{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0001-8923-306X","authenticated-orcid":false,"given":"Xia","family":"Wu","sequence":"first","affiliation":[{"name":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical 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