This paper presents a method to address system prognosis. It also details a successful application to complex vacuum pumping systems. The proposed approach relies on an automateddata-driven learning process as oppose...
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ISBN:
(纸本)9783642130212
This paper presents a method to address system prognosis. It also details a successful application to complex vacuum pumping systems. The proposed approach relies on an automateddata-driven learning process as opposed to hand-built models that are based on human expertise. More precisely, using historical vibratory data, we first model the behavior of a system by extracting a given type of episode rules, namely First Local Maximum episode rules (FLM-rules). A subset of the extracted FLM-rules is then selected in order to further predict pumping system failures in a datastream context. The results that we got for production data are very encouraging as we predict failures with a good time scale precision. We are now deploying our solution for a customer of the semi-conductor market.
This book constitutes the refereed proceedings of the 23rdinternationalconference on intelligentdataengineering and automatedlearning, ideal 2022, which took place in Manchester, UK, during November 24-26, 2...
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ISBN:
(数字)9783031217531
ISBN:
(纸本)9783031217524
This book constitutes the refereed proceedings of the 23rdinternationalconference on intelligentdataengineering and automatedlearning, ideal 2022, which took place in Manchester, UK, during November 24-26, 2022.;The 52 full papers included in this book were carefully reviewed and selected from 79 submissions. They deal with emerging and challenging topics in intelligentdata analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
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