This paper considers the problem of inhibiting smearing effects for multiple sensor fault
isolation. Although the reconstruction-based approach has received considerable attention …

Periodic manual calibrations ensure that an instrument will operate correctly for a given
period of time, but they do not assure that a faulty instrument will remain calibrated for other …

The problem of detecting and identifying sensor faults is critical for efficient, safe, regulatory-
compliant, and sustainable operations of modern industrial processing systems. The …

When sensors malfunction, control systems become unreliable. Even with the most
sophisticated instruments and control algorithms, a control decision based on faulty data will …

The paper presents two readily implementable and computationally efficient approaches for
sensor fault detection and identification (SFD/I) for group of sensors in complex systems …

In this paper, a data-driven scheme for the robust Fault Isolation of multiple sensor faults is
proposed. Robustness to modelling uncertainty and noise is achieved via the optimized …

Sensors equipped on the high-speed train provide large amounts of data which contributes
to its state monitoring. However, it is challenging to distinguish whether the fault originates …

This paper investigates the potential of two different neural network approaches for signal
failure detection and reconstruction. Firstly, we propose an approach based on the use of a …

This note presents a robust fault isolation scheme for a class of nonlinear systems with
sensor bias type of faults. The proposed fault diagnosis architecture consists of a fault …

Sensor fault detection and identification (SFD/I) has attracted considerable attentions in
military applications, especially where the safety issues present priority drivers. This paper …