The present study introduces a novel methodology for fault detection and diagnosis (FDD),
based on a combined approach of data and process knowledge driven techniques. The …

In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also
proving to be beneficial in terms of financial and time efforts. These products are physically …

Fault monitoring and diagnosis can significantly help in understanding the actual operation
of modern chemical processes. Data visualization can enable technical staff to visually …

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 …

(1) Background: The high heterogeneity of inflammatory bowel disease (IBD) makes the
study of this condition challenging. In subjects affected by Crohn's disease (CD), extra …

In the chemical industry, fault diagnosis is a challenging task due to the complexity of
chemical equipment. This paper proposes a machine learning‐based approach to achieve …

The accurate detection and diagnosis of faults are critical for maintaining optimal operation
and ensuring the reliability of industrial processes. Notably, the topic of online fault detection …

Safety is seen as a key factor for successful business and an inherent element of business
performance. As a result, industrial safety performance has progressively and measurably …

Fault diagnosis techniques based on data-driven algorithms go mainstream gradually in
industrial processes. Unfortunately, traditional data-driven algorithms cannot deal with …