On building a monitoring and diagnostic system for a hydraulic system

Mikko Hiirsalmi

Research output: Book/ReportReport


One of the aims of this case study is to show how to build monitoring and diagnostic applications on top of the RapidBase platform. RapidBase is a relational database management system with temporal extensions and a versatile trigger system for reacting to database updates. RapidBase databases are located in main memory instead of the disk which makes database operations faster than typical with disk based database systems. Another aim has been to experiment with different feature extractors to be able to detect different fault situations. Our experiences indicate that at least in well-known situations visual inspection may be used to find diskriminatory features capable of diskriminating between different machine states. The Matlab programming environment provides a large set of mathematical and signal processing functions that may be used to experiment with various feature extractors. Matlab compiler provides a bridge between modeling and operational usage by converting the Matlab functions into C++ code that may be embedded into one's own system architecture. We have demonstrated this by using the converted Matlab functionality in the RapidBase triggers to create user defined functionality. The performance of the pilot system has also been studied and it appears that with the tested standard laptop computer at most 130 records (with 7 floating point values) of raw measurement data could be processed per second by the test application and the suggested analysis algorithms could still be run in real time mode as database trigger applications.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages15
Publication statusPublished - 2004
MoE publication typeD4 Published development or research report or study

Publication series

SeriesVTT Information Technology. Research Report


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