Heavy machinery allows for the efficient, precise, and safe management of large-scale
operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures …

Anomaly detection is an effective method to guarantee the health of rotating machines
during their long-term service time. In this paper, a new deep residual shrinkage relation …

Developing a maintenance schedule for different parts of a power plant can help to prevent
serious system damage while also having a direct effect on reducing maintenance time and …

Anomaly detection for industrial diesel generators, in which unexpected faults could lead to
severe consequences, is still challenged due to their complex structure and nonstationary …

Manufacturing downtime due to faults is costly and disruptive. With the increasing availability
of real-time data in modern Smart Manufacturing (SM) environments, effective anomaly …

This paper proposes a bearing fault diagnosis method using empirical mode decomposition
(EMD), deep learning, and a combination of knowledge graphs to analyze faults from …

The detection of faulty bearings is an essential step in guaranteeing the safe and efficient
operation of rotating machinery. Bearings, which also transmit the loads and pressures …

Rotorcrafts experience severe vibrations during operation. To ensure the safety of
rotorcrafts, it is necessary to perform anomaly detection to detect small-scale structural faults …

A severe tool wear is often encountered during the process of turning/milling difficult-to-cut
materials like Inconel 718. To protect the cutting process from the tool failure, the …

Obtaining current fault data for mechanical equipment is a challenging endeavor. Despite
some successes in anomaly detection, achieving satisfactory results remains difficult …