This paper presents an extensive literature review on the field of condition-based
maintenance (CBM). The paper encompasses over 4000 contributions, analysed through …

Timely failure detection for bearings is of great importance to prevent economic losses in the
industry. In this article we propose a method based on Convolutional Neural Networks …

Advance prediction about bearing remaining useful life (RUL) is a major activity which aims
at scheduling proper future actions to avoid catastrophic events. However, the reliability of …

New online fault monitoring and alarm systems, with the aid of Cyber-Physical Systems
(CPS) and Cloud Technology (CT), are examined in this article within the context of Industry …

An efficient and robust algorithm based on mixed integer linear programming is proposed to
extend the Logical Analysis of Data (LAD) methodology to solve multiclass classification …

In recent years, classification techniques have been broadly adopted for a variety of smart
manufacturing applications, including system health maintenance, defect detection and …

As data is now becoming available and accessible, credit risk management departments in
financial institutions are now engaging machine learning techniques to produce more …

The thesis develops a new methodology for diagnosis and prognosis of faults in a complex
system, called Interpretable logic tree analysis (ILTA), which combines knowledge extraction …