Observers are computational algorithms designed to estimate unmeasured state variables
due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant …

The problem of fault diagnosis (FD) and fault tolerant control for a class of Takagi–Sugeno (T–
S) fuzzy stochastic distribution control systems subject to sensor and actuator faults is …

To obtain high dynamic performance on induction motor drives (IMD), variable voltage and
variable frequency operation has to be performed by measuring speed of rotation and stator …

Reliable and comprehensive predictive tools for the frictional pressure drop (FPD) are of
particular importance for systems involving two-phase flow condensation. However, the …

In this research, fault detection and diagnosis (FDD) scheme for isolating the damaged
injector of an internal combustion engine is formulated and experimentally applied. The FDD …

This paper presents a design and analysis methodology for detecting and isolating multiple
sensor faults in heating, ventilation, and air-conditioning (HVAC) systems. The proposed …

In this article, a rapid sensor fault diagnosis (SFD) method is presented for a class of
nonlinear systems. First, by exploiting the linear adaptive observer technology and the …

This paper presents a fault detection and diagnosis (FDD) method, which uses one‐
dimensional convolutional neural network (1‐D CNN) and WaveCluster clustering analysis …

In this work, we present the design of a fault detection and isolation (FDI) system for the
mass air flow (MAF) sensor of an internal combustion (IC) engine based on adaptive …

The disturbance observer is one of the useful tools for estimating the contact force between
the subject body and the environment in robotic and mechatronic systems. This paper …