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Erschienen in:
1997 | OriginalPaper | Buchkapitel
Review of Tools and Concepts of Diagnosis
verfasst von : Professor Dr. rer. nat. Dr. hc. Hans Günther Natke, Professor Dr. habil. Czeslav Cempel
Erschienen in: Model-Aided Diagnosis of Mechanical Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Symptom-based diagnosis is described in [22–24]. Symptoms are sensitive quantities with respect to a fault, and they are used for fault detection and also for diagnostic purposes. Classical diagnostic methods are signal-based and signature-supported. Simple signature analysis employs data-reduction methods, for example counting the number of peaks of a spectral function. In general, signature analysis involves scalar information. Multiple features are applied independently. Extended signature analysis uses vectorial information and patterns. A set of features will be evaluated and used for decision and assessment.