Paper
12 March 2002 Discovery of knowledge from diagnostic databases
Wojciech A. Moczulski, Pawel Kostka
Author Affiliations +
Abstract
The paper deals with acquisition of diagnostic knowledge that is relevant for detection and isolation of a special class of malfunctions of rotating machinery called shaft misalignment. To detect a misalignment of the given shaft supported by multiple journal bearings, decision trees have been applied. These trees have been discovered in a database collected in a numerical experiment performed by the well-verified simulation system. A novel approach to definition of classes of misalignment has been introduced. Several new methods of selection of attributes and evaluation of classifier's performance have been suggested and verified. Finally a new method of diagnosing misalignment of rotating machinery has been formulated. This method may be efficiently implemented for real-existing rotating machinery.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wojciech A. Moczulski and Pawel Kostka "Discovery of knowledge from diagnostic databases", Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); https://doi.org/10.1117/12.460221
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Diagnostics

Databases

Computer simulations

Knowledge discovery

Data mining

Data processing

Feature selection

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