Abstract
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<p>Monitoring the operation of compl … <p>Monitoring the operation of complex systems in real-time is becoming both required and enabled by current IoT solutions. Predicting faults and optimising productivity requires autonomous methods that work without extensive human supervision. One way to automatically detect deviating operation is to identify groups of peers, or similar systems, and evaluate how well each individual conforms with the group. We propose a monitoring approach that can construct knowledge more autonomously and relies on human experts to a lesser degree: without requiring the designer to think of all possible faults beforehand; able to do the best possible with signals that are already available, without the need for dedicated new sensors; scaling up to “one more system and component” and multiple variants; and finally, one that will adapt to changes over time and remain relevant throughout the lifetime of the system. © Springer Nature Switzerland AG 2018.</p>nger Nature Switzerland AG 2018.</p>
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Author
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Sławomir Nowaczyk +
, Anita Sant'Anna +
, Ece Calikus +
, Yuantao Fan +
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Conference
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Intelligent Data Engineering and Automated Learning – IDEAL 2018, 19th International Conference, Madrid, Spain, November 21–23, 2018
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DOI
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http://dx.doi.org/10.1007/978-3-030-03496-2_6 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1276685
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EndPage
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53 +
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HostPublication
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Intelligent Data Engineering and Automated Learning – IDEAL 2018 : 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II +
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PublicationType
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Conference Paper +
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Publisher
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Springer +
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Series
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Lecture Notes in Computer Science ; 11315 +
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StartPage
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41 +
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Title
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Monitoring equipment operation through model and event discovery +
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Volume
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11315 +
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Year
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2018 +
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Has queryThis property is a special property in this wiki.
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Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
, Publications:Monitoring equipment operation through model and event discovery +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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8 January 2019 21:22:09 +
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