Abstract
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<p>A new approach to improve fault d … <p>A new approach to improve fault detection is proposed. The method takes benefit of using a population of systems to dynamically define a norm of how the system works. The norm is derived from self-organizing algorithms which generate a low dimensional representation of how selected feature data are correlated. The feature data is selected from the state variables and from the control signals. The self-organizing method and limited number of feature signals enable fast deviation detection and low computational footprint on each system to be analyzed. The comparison analysis between the systems is performed at a service centre, to where the low-dimensional representations of the systems are transmitted. The method is demonstrated on a simulated DC-motor and the results are promising for deviation detection.</p>omising for deviation detection.</p>
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Author
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Magnus Svensson +
, Magnus Forsberg +
, Stefan Byttner +
, Thorsteinn Rögnvaldsson +
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Conference
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Intelligent Systems and Control 2009, Cambridge, Mass., USA, Nov. 2-4, 2009
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:327075
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HostPublication
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Proceeding Intelligent Systems and Control (ISC 2009) +
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PublicationType
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Conference Paper +
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Publisher
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ACTA Press +
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Title
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Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
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Year
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2009 +
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Has queryThis property is a special property in this wiki.
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Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
, Publications:Deviation Detection by Self-Organized On-Line Models Simulated on a Feed-Back Controlled DC-Motor +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:39:15 +
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