Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

The prediction of the remaining useful life (RUL) is important for the conditions of rotating
machinery to maintain reliability and decrease losses. This study proposes an efficient …

As the operational status of aircraft engines evolves, their fault modes also undergo
changes. In response to the operational degradation trend of aircraft engines, this paper …

Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …

Recently, scientists have proposed several deep learning models to monitor the diversity of
bird species. These models can detect bird species with high accuracy by analyzing …

Belt drives are important and commonly used in industry to transmit power. In this paper, the
vibration analysis is carried out on the centrifugal fan belt drive under different operating …

The lack of transparency in outcomes of advanced machine learning solutions, such as
deep learning (DL), leads to skepticism among business users about using them …

The objective of this doctoral research is to investigate and synthesize novel physics-
informed machine learning methods that enable physically valid characterization of additive …

Abstract Prognostics and Health Management (PHM) is identified as an important lever for
enhancing the development of predictive maintenance to ensure the reliability, availability …