A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

By Xiaodong Zhang, Marios M. Polycarpou, Thomas Parisini. IEEE Transactions on Automatic Control, 2002

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A Survey of Fault Detection, Isolation, and Reconfiguration Methods (2010, background): “[91] have designed an online fault detection and”
Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation (2010, background): “The fault isolability condition is rigorously established based on the so-called fault mismatch function, which provides a suitable measure of the mutual ‘‘difference’’ between possible faults (see Zhang et al. (2002)).”
Fault diagnosis based on analytical models for linear and nonlinear systems - a tutorial (2003, background): “For examples on how to use neural networks in the design of fault detection and isolation systems the reader is referred to (Zhang et al., 2002), (Chen and Patton, 1999).”
Model-based real-time thermal fault diagnosis of Lithium-ion batteries (2016, methodology): “The adaptive threshold generator is essentially a filter that is designed based on the nominal error dynamics of the observer and known uncertainty bounds (Zhang et al., 2002).”
Fault-Tolerant Control of Wind Turbines: A Benchmark Model (2009, methodology): “As described in [12], it is a preliminary and simplified implementation of the general method given in [39] and [40].”
Active Fault Diagnosis for Nonlinear Systems with Probabilistic Uncertainties (2014, background): “The three-tank system (Zhang et al., 2002).”