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In diagnostics of complex machines, for their condition assessment we often use many dasiawould bepsila symptoms at the beginning, especially at the diagnostic startup of a new machine. The discrete observation of this dasiawould bepsila symptom vector creates so called symptom observation matrix (SOM). Using next the singular value decomposition (SVD) for the given SOM, one can extract the generalized...
The analysis and identification of wear particles for machine condition monitoring is usually conducted by experienced inspectors, and, thus, the process is usually very time-consuming. To overcome this obstacle, grey system theory has been applied in this study. The theory of grey systems is a new technique to perform prediction, relational analysis and decision making in many areas. In this paper,...
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