Abstract Model‐based fault detection technique has a broad range of applications because
of the small change to the system when the system state is known to be available and the …

This paper is concerned with sensor fault diagnosis problems for multi-axis carving machine
systems (MACMSs) with repetitive machining tasks. A novel fault diagnosis method that …

In the oil industry, the leakage of pipelines containing hydrocarbon fluids causes significant
environmental and economic damage. Recently, there has been a growing trend in …

A fault diagnosis method based on Discrete Hidden Markov Models is proposed in this
paper to identify the fault causing alarm flood sequences. The proposed method consists of …

Mechanical and electrical equipment as the core of production, its failure will lead to
production enterprises can not operate normally, resulting in economic losses of enterprises …

Predicting machine faults is crucial for maintaining operational efficiency in industrial
settings, minimizing unplanned downtime, and ensuring customer satisfaction. Fault …