Tolkku – a toolbox for decision support from condition monitoring data

CATEGORY: CONDITION MONITORING
25th International Congress on Condition Monitoring and Diagnostic Engineering, Journal of Physics: Conference Series 364 (2012)
Tolkku – a toolbox for decision support from condition monitoring data
Olli Saarela 1,3 , Mikko Lehtonen 1, Jari Halme 1, Antti Aikala 1 and Kimmo Raivio 2
olli.saarela@vtt.fi
1 VTT Technical Research Centre of Finland, P.O.Box 1000, FI-02044 VTT, Finland
2 Aalto University, School of Science and Technology, P.O.Box 15400,
FI-00076 Aalto, Finland
Abstract.
Describes a software toolbox designed for condition monitoring and diagnosis of machines. This toolbox implements both new methods and prior art and is aimed at practical down-to-earth data analysis work.
The target is to improve knowledge of the operation and behaviour of machines and processes throughout their entire life-cycles. The toolbox supports different phases of condition based maintenance with tools that extract essential information and automate data processing. The paper discusses principles that have guided toolbox design and the implemented toolbox structure. Case examples are used to illustrate how condition monitoring applications can be built using the toolbox. In the first case study the toolbox is applied to fault detection of industrial centrifuges based on measured electrical current. The second case study outlines an application for centralized monitoring of a fleet of machines that supports organizational learning.
Free Full Text Source: http://iopscience.iop.org/1742-6596/364/1/012044