Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

Electric motors are used extensively in numerous industries, and their failure can result not
only in machine damage but also a slew of other issues, such as financial loss, injuries, etc …

Fault diagnosis is an important topic both in practice and research. There is intense pressure
on industrial systems to continue reducing unscheduled downtime, performance …

Latent variable-based process monitoring (PM) models have been generously developed by
shallow learning approaches, such as multivariate statistical analysis and kernel techniques …

Autonomous underwater vehicles (AUVs) are an important equipment for ocean
investigation. Actuator fault diagnosis is essential to ensure the sailing safety of AUVs …

This study evaluates the robust fault estimation problem of systems with actuator and sensor
faults though the simultaneous use of unknown input disturbances and measurement noise …

This paper proposes a novel multidomain features-based genetic algorithm (GA) optimized
artificial immune system (AIS) framework for fault detection in real systems. Different from …

This paper proposes a neural network-based fault diagnosis scheme to address the problem
of fault isolation and estimation for the Single-Gimbal Control Moment Gyroscopes …

In this article, a decentralized optimal fault tolerant tracking control (DOFTTC) approach is
proposed for unknown nonlinear interconnected systems (NISs) with partial loss of actuator …

Reaction wheels are key components for the spacecraft attitude control subsystems. Faults
in reaction wheels may lead to high energy consumption, lack of spacecraft attitude control …