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

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.