This paper presents a new model-based fault detection and failure prediction framework for
a class of multi-input and multi-output (MIMO) nonlinear distributed parameter systems …

Traditional quality-related process monitoring mainly focuses on the magnitude change of
the quality variables caused by additive faults. However, the abnormal fluctuations in the …

Measured data or states for a nonlinear dynamic system is usually contaminated by outliers.
Identifying and removing outliers will make the data (or system states) more trustworthy and …

In this paper, a novel nonlinear observer-based approach is established to cast light on the
problem of isolating sensor faults from un-stealthy attacks for Lipschitz affine nonlinear …

This paper covers model-based fault detection and isolation for linear and nonlinear
distributed parameter systems (DPS). The first part mainly deals with actuator, sensor and …

In this paper, a novel decentralized fault tolerant controller (DFTC) is proposed for
interconnected nonlinear continuous-time systems by using local subsystem state vector …

This paper presents a wavelet-based prognosis technique for fault-tolerant control (FTC) of
an induction motor (IM) drive. The wavelet is used for analysis in fault detection due to its …

In this paper, a partial differential equation (PDE) representation of a system is directly
utilized to construct a fault diagnosis observer for distributed parameter systems (DPS) in …

In this study, a novel fault diagnosis approach based on a non-linear spectrum feature is
proposed for a multivariable non-linear system. The non-linear spectrum features are …

The problem of simultaneous fault detection, isolation and tracking (SFDIT) control design
for linear systems subject to both bounded energy and bounded peak disturbances is …