Studies on Test System Graying and Its Dynamic Feature Identification
Abstract
At present, some approaches from which the “black box†system transforms to “white†system or “gray†system have gradually been in hot research. Provided that a measurement system is time-varying, dynamic, random and self-correlation, it should be considered as a dynamic system; otherwise, it should be static or “pseudo-dynamicâ€, we can thus apply static measurement uncertainty theory to process and analyze. In this paper, some theories about system graying are introduced firstly, and dynamic features of measurement are described in detail to fulfill the system identification. Then, the application on an universal hybrid system is shown that based on the modeling analysis mentioned above, the whole processing can be testified its validity.
Keywords
System graying, Dynamic feature identification, Systematic error, Pseudo-dynamic
Publication Date
DOI
10.12783/dtcse/cmsam2016/3550
10.12783/dtcse/cmsam2016/3550
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