The accurate detection of faults in diesel engines is crucial for extending their operational
lifespan, ensuring safety, and yielding significant economic and societal benefits. However …

In this era of advanced manufacturing, it's now more crucial than ever to diagnose machine
faults as early as possible to guarantee their safe and efficient operation. With the massive …

Abstract The Wireless Sensor Network (WSN) consists of many sensors that are distributed
in a specific area for the purpose of monitoring physical conditions. Factors such as …

The wide application of rotating machinery has boosted the development of electricity and
aviation, however, long-term operation can lead to a variety of faults. The use of different …

The latest trend in the intellectual development of machinery and equipment has increased
the ambiguity and complexity of fault identification. Traditional data-driven methods fail to …

Deep learning (DL) has garnered attention in mechanical device health management for its
ability to accurately identify faults and predict component life. However, its high …

This study proposed a performance-interpretable deep learning model for rolling bearing
fault diagnosis that integrates an intelligent fusion of sound and vibration signals and self …

This paper proposes fault diagnosis methods aimed at proactively preventing potential
safety issues in robot systems, particularly human coexistence robots (HCRs) used in …

In a wireless sensor network (WSN), the presence of faulty nodes can cause serious
problems such as data loss, reduced network life, and reduced accuracy of collected data …

An optimal spatio-temporal hybrid model (STHM) based on wavelet transform (WT) is
proposed to improve the sensitivity and accuracy of detecting slowly evolving faults that …