Abstract
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<p>Methods for equipment monitoring … <p>Methods for equipment monitoring are traditionally constructed from specific sensors and/or knowledge collected prior to implementation on the equipment. A different approach is presented here that builds up knowledge over time by exploratory search among the signals available on the internal field-bus system and comparing the observed signal relationships among a group of equipment that perform similar tasks. The approach is developed for the purpose of increasing vehicle uptime, and is therefore demonstrated in the case of a city bus and a heavy duty truck. However, it also works fine for smaller mechatronic systems like computer hard-drives. The approach builds on an onboard self-organized search for models that capture relations among signal values on the vehicles’ data buses, combined with a limited bandwidth telematics gateway and an off-line server application where the parameters of the self-organized models are compared. The presented approach represents a new look at error detection in commercial mechatronic systems, where the normal behavior of a system is actually found under real operating conditions, rather than the behavior observed in a number of laboratory tests or test-drives prior to production of the system. The approach has potential to be the basis for a self-discovering system for general purpose fault detection and diagnostics.</p>fault detection and diagnostics.</p>
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Author
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Stefan Byttner +
, Thorsteinn Rögnvaldsson +
, Magnus Svensson +
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DOI
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http://dx.doi.org/10.1016/j.engappai.2011.03.002 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:416942
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EndPage
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839 +
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Issue
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5 +
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Journal
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Engineering applications of artificial intelligence +
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PublicationType
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Journal Paper +
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Publisher
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Pergamon Press +
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StartPage
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833 +
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Title
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Consensus self-organized models for fault detection (COSMO) +
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Volume
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24 +
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Year
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2011 +
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Has queryThis property is a special property in this wiki.
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Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
, Publications:Consensus self-organized models for fault detection (COSMO) +
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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 20:41:16 +
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