In today's rapidly evolving manufacturing landscape with the advent of intelligent
technologies, ensuring smooth equipment operation and fostering stable business growth …

With the continuous development and complexity of industrial systems, various types of
industrial equipment and systems face increasing risks of failure during operation. Important …

In the realm of automated industry and smart production, the deployment of fault warning
systems is crucial for ensuring equipment reliability and enhancing operational efficiency …

Hydraulic turbines constitute an essential component within the hydroelectric power
generation industry, contributing to renewable energy production with minimal …

Early fault detection, both in equipment and the products in process, is of paramount
importance in industrial processes to ensure the quality of the final product, avoid abnormal …

The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for
assessing the effectiveness of fault detection and false alarm tracking methods in intricate …

A Deep Neural Network (DNN) based algorithm is proposed for the detection and
classification of faults in industrial plants. The proposed algorithm has the ability to classify …

For fault detection and diagnosis in large‐scale industrial systems, traditional methods have
a low classification accuracy, which is an issue. This paper proposes a fault diagnosis …

In the processing and manufacturing industries, there has been a large push to produce
higher quality products and ensure maximum efficiency of processes, which requires …

The reliable operation of industrial equipment is imperative for ensuring both safety and
enhanced production efficiency. Machine learning technology, particularly the Light Gradient …