The present paper brings together openly available datasets and simulators for testing of
process monitoring and fault diagnosis techniques. Some general characteristics of these …

The healthy operations of mechanical systems are crucially important for ensuring human
safety and economic benefits, so that there is a high demand on the automatic fault …

Wind turbine power generation is becoming one of the most critical renewable energy
sources. As wind power grows, there is a need for better monitoring and diagnostic …

This paper presents the utilization of the ESP32 microcontroller as a teaching tool for signal
acquisition, processing, and control theory in biotechnological engineering. The ESP32 …

Fault detection and classification is an important part of assessing the structural and system
health status. The classification and detection of faults and faulty units is mostly done with …

This paper proposes a sensor and actuator fault estimation and self-healing control scheme
to address issues related to deteriorating effluent quality, process failures, and safety …

In this paper, based on dual fuzzy RBF neural networks and velocity reconstruction, a novel
active fault-tolerant control strategy is proposed. Firstly, considering the excellent …

The objective of this work is to design a novel evolving fuzzy prediction interval for modeling
a nonlinear system and to implement a novel interval-based algorithm for fault detection. To …

In the multifaceted field of oceanic engineering, the quality of underwater images is
paramount for a range of applications, from marine biology to robotic exploration. This paper …

With the rapid development of deep learning, its powerful capabilities make it possible to
perform mechanical fault diagnosis of high-voltage circuit breakers (HVCBs). Among deep …