The objective of this work is to design a sensor-fault detection and diagnosis system for the
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …

Sensors' existence as a key component of Cyber-Physical Systems makes it susceptible to
failures due to complex environments, low-quality production, and aging. When defective …

With the increased availability of condition monitoring data and the increased complexity of
explicit system physics-based models, the application of data-driven approaches for fault …

Wireless sensor networks (WSNs) often consist of hundreds of sensor nodes that may be
deployed in relatively harsh and complex environments. In views of hardware cost, sensor …

The capability of deep learning (DL) techniques for dealing with non-linear, dynamic and
correlated data has paved the way for DL-based fault detection and diagnosis (FDD) …

Fault diagnosis is vital for modern industry, and an increasing number of intelligent methods
have been proposed for the fault diagnosis. However, most of the studies focus on …

Fault detection and diagnosis (FDD) is crucial for stable, reliable, and safe operation of
industrial equipment. In recent years, deep learning models have been widely used in data …

An accurate fault detection and diagnosis system is of great importance for autonomous
vehicles to prevent the potential hazardous situations. In this paper, we propose a fault …

The primary focus of autonomous driving research is to improve driving accuracy and
reliability. While great progress has been made, state-of-the-art algorithms still fail at times …

In recent years, artificial intelligent techniques have been extensively explored in the field of
health monitoring and fault diagnosis due to their powerful capabilities. In this paper, we …