Vibration analysis has been extensively exploited for bearing fault diagnosis. However,
signal acquisition is quite expensive since external hardware is required. Moreover, for …

This study discusses a failure detection algorithm that uses frequency analysis and artificial
intelligence to determine whether a rotor used in an industrial setting has failed. A rotor is a …

The safe operation of diesel engines performs a vital function in industrial production and
life. Because diesel engines often work in harsh environmental conditions, they are prone to …

Rotating machines require bearings to operate smoothly. However, wear, misalignment, and
poor lubrication can degrade bearings over time. Fault diagnosis models identify and …

Rotating industrial machinery underpins manufacturing and infrastructure, yet robust fault
diagnosis remains crucial for optimizing efficiency and minimizing downtime. This review …

Gearboxes are critical equipment in many industrial applications such as machine
manufacturing, petrochemical industry, renewable energy, etc. However, due to their …

Featured Application The proposed system is designed for the estimation of a rotating
machine's condition, based on the acoustic signal that the machine generates. According to …

Aiming at the problems of early weak fault feature extraction of bearings in rotating
machinery, an improved stochastic resonance (SR) is proposed combined with the …

Through innovation in the data collection environment, data-driven fault diagnosis has
become increasingly important. This study aims to develop an algorithm to improve the …

Fault diagnoses of rotating machinery (RM) have played an important role in the safety and
reliability of contemporary sustainable manufacturing systems. Extracting features from …