Due to increasing demands for ensuring the safety and reliability of a system, fault detection
(FD) has received considerable attention in modern industries to monitor their machines …

Process fault detection and diagnosis (FDD) is an essential tool to ensure safe production in
chemical industries. After decades of development, despite the promising performance of …

The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …

Efficient anomaly detection is crucial to ensure safe operation of Autonomous vehicles
(AVs). This study proposes an interpretable method for detecting anomalies in AV data …

Abstract The automation of Fault Detection and Diagnosis (FDD) is a central task for many
industries today. A myriad of methods are in use, although the most recent leading …

Recent advances in artificial intelligence (AI) and data analytics (DA) could provide
opportunities for the fault management and the decision-making of the urban wastewater …

Automating the monitoring of industrial processes has the potential to enhance efficiency
and optimize quality by promptly detecting abnormal events and thus facilitating timely …

There is an ever-increasing need to optimise bearing lifetime and maintenance cost through
detecting faults at earlier stages. This can be achieved through improving diagnosis and …

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

The increase of productivity and decrease of production loss is an important goal for modern
industry to stay economically competitive. For that, efficient fault management and quick …