State of the Art Survey of Methods to Diagnose and Maintain Mobile Mechanical Machinery

Mikko Hiirsalmi

Research output: Book/ReportReport

Abstract

We review the current state in developing intelligent methods to diagnose and maintain mobile mechanical machinery. At first the problem area is characterized and the different architectural layers are identified. Then we review necessary preprocessing methods and methods for fault detection and identification and outline how an active database platform, called RapidBase, could be used for this task. Next we address the task of building the diagnostic models. We review methods to estimate the remaining life time of components. We address different methods for industrial maintenance management from failure-based maintenance to condition-based maintenance. Next we identify potential remote diagnostic services. Finally a roadmap is suggested prioritizing the industry needs in this domain.
Original languageEnglish
PublisherVTT Technical Research Centre of Finland
Number of pages21
Publication statusPublished - 2004
MoE publication typeD4 Published development or research report or study

Publication series

SeriesVTT Research Report
NumberTTE1-2003-17

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