A data-driven approach of fault detection for LTI systems

Abstract

This paper proposes a modified subspace aided data-driven fault detection method for linear time-invariant systems. The main merit of this method lies in the avoidance of identifying the mechanism-based model of a system. Inspired by subspace identification method, we construct parameterized matrices of residual signal directly from input and output data… (More)

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