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Chair of Intelligent Maintenance Systems

The Chair of Intelligent Maintenance Systems focuses on developing intelligent algorithms to improve performance, reliability and availability of complex industrial assets and making the maintenance more cost efficient.   

News

IMS group's new paper on “Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series” has just been published in PNAS

Dr. Gaëtan Frusque of the IMS Chair to present at ICASSP 2022

Prof. Fink held a presentation "Towards intelligent operation and maintenance of complex systems"

Prof. Fink talks about Domain Adaptation at Nanjing University

Qin Wang of the IMS Chair succesfully defended his dissertation

New PhD student Chi-Ching Hsu joins the IMS Chair

SBB and Axpo gave insight into current projects at IMS Network Event

Prof. Fink presented at the MAS+ Workshop

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