Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

Rotating machines are extensively utilized in diverse industries, and their malfunctions can
result in significant financial consequences and safety risks. Consequently, there has been …

Multi-sensor data fusion has received substantial attention thanks to its ability to integrate
information from distinct sources efficiently. Nevertheless, the information collected from …

In the field of vibration monitoring and control, the use of low-cost multicomponent MEMS-
based accelerometer sensors is nowadays increasingly widespread. Such sensors allow …

Solving the problem of the transmission of mechanical equipment is complicated, and the
interconnection between equipment components in a complex industrial environment can …

Currently, most fault diagnosis methods can achieve desired results from a single signal
source. However, a single sensor signal has limited features and adaptability to the working …

Traditional maintenance strategies risk unforeseen failure, sophisticated physics-based
modeling, and manual feature extraction. Early detection and accurate predictions of …

Faults identification plays a vital role in improving the safety and reliability of industrial
machinery. Deep learning has stepped into the scene as a promising approach for detecting …

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 …

Conjugated polymers exhibit significant potential for use in gas sensors owing to their
flexibility and straightforward preparation. However, the performance of organic gas sensors …