System architecture for mastering machine parameter optimisation

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• 作者：Petri Kannisto ; ^{petri.kannisto@tut.fi} ; David Hä ; stbacka ^{david.hastbacka@tut.fi} ; Seppo Kuikka ^{seppo.kuikka@tut.fi}
• 关键词：Distributed systems ; Knowledge management ; Performance optimisation ; Mobile machines
• 刊名：Computers in Industry
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：85
• 期：Complete
• 页码：39-47
• 全文大小：1942 K
• 卷排序：85

文摘

A system architecture is developed for parameter optimisation in mobile machines. Prevailing parameters and performance are compared to fleet statistics for feedback. Tacit domain knowledge is modelled and utilised using a rule framework. A prototype was successfully verified in a simulator and with real data. The work combines service components, distributed machine data management and rules.