Unsupervised Fault Detection in Varying Operating Conditions

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Author
Michau, Gabrielcc
Fink, Olga
Date
2019-08-29
Type
    Conference Paper
Publication status
published
External links
Book title
2019 IEEE International Conference on Prognostics and Health Management (ICPHM)
Pages / Article No.
8819383
Publisher
IEEE
Event
IEEE International Conference on Prognostics and Health Management (ICPHM 2019), San Francisco, CA, USA, June 17-20, 2019
Subject
Unsupervised Feature Alignment; Fleet Monitoring; Unsupervised Fault Detection; Hierarchical Extreme Learning Machine; Gradient Reversal Layer; UNSUPERVISED LEARNING (ARTIFICIAL INTELLIGENCE); Fault detection and diagnosis; fleet; industrial systems
Organisational unit
09642 - Fink, Olga (ehemalig) / Fink, Olga (former)  
Funding
176878 - Data-Driven Intelligent Predictive Maintenance of Industrial Assets (SNF)
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Citations
Cited 21 times in Scopus
ETH Bibliography
yes
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