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Paper details
Number 4 - December 2016
Volume 26 - 2016
Switching time estimation and active mode recognition using a data projection method
Assia Hakem, Vincent Cocquempot, Komi Midzodzi Pekpe
Abstract
This paper proposes a data projection method (DPM) to detect a mode switching and recognize the current mode in a
switching system. The main feature of this method is that the precise knowledge of the system model, i.e., the parameter
values, is not needed. One direct application of this technique is fault detection and identification (FDI) when a fault produces a change in the system dynamics. Mode detection and recognition correspond to fault detection and identification,
and switching time estimation to fault occurrence time estimation. The general principle of the DPM is to generate mode
indicators, namely, residuals, using matrix projection techniques, where matrices are composed of input and output measured
data. The DPM is presented in detail, and properties of switching detectability (fault detectability) and discernability
between modes (fault identifiability) are characterized and discussed. The great advantage of this method, compared with
other techniques in the literature, is that it does not need the model parameter values and thus can be applied to systems of
the same type without identifying their parameters. This is particularly interesting in the design of generic embedded fault
diagnosis algorithms.
Keywords
switching systems, mode recognition, fault detection and isolation, data-driven method, mode discernability, switching detectability, fault identifiability