Abstract
Any parametric description of a diagnosed object includes only a small part of all existing state parameters; in fact, it is only a simplified model of reality. The best description is that which is in equivalent relation to the given states of the object. It means that the value x(p) of a given physical quantity from the set X occurs if and only if the object is in the state m. In the case of real objects, it is often impossible to establish unambiguously these relations because the physical processes considered are not known adequately in their analytical form, or the parameter calculation is too complex computationally. It follows that fault diagnosis demands determining the relations existing between the measured symptoms (changes of the observed quantity over its face value) and the faults (Calado et al., 2001; Frank and Koppen-Seliger, 1997; Isermann and Balle, 1997).
The work was supported by the EU’s FP5 RTN Development and Application of Methods for Actuators Diagnosis in Industrial Control Systems, DAMADICS (2000–2003).
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Marciniak, A., Korbicz, J. (2004). Pattern Recognition Approach to Fault Diagnostics. In: Korbicz, J., Kowalczuk, Z., Kościelny, J.M., Cholewa, W. (eds) Fault Diagnosis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18615-8_14
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