This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

Deep learning techniques have become one of the main propellers for solving engineering
problems effectively and efficiently. For instance, Predictive Maintenance methods have …

Intelligent fault diagnosis of bearings is an essential issue in the field of health management
and the prediction of rotating machinery systems. The traditional bearing intelligent …

Rotating machines are a common class for machineries in industries and one of the root
cause of failure of these machines are faults in rolling element bearing (REB). Therefore, to …

As the key component of a mechanical system, rolling bearings will cause paralysis of the
entire mechanical system once they fail. In recent years, considering the high generalization …

This article concerns smoke detection in the early stages of a fire. Using the computer-aided
system, the efficient and early detection of smoke may stop a massive fire incident. Without …

To effectively predict the faults of centrifugal pumps, the idea of machine learning k‐nearest
neighbor algorithm (KNN) was introduced into the traditional Mahalanobis distance fault …

Condition based maintenance of rotary machines is centered on bearings, as they are the
leading source of breakdowns in induction motors used in the industry. The health prognosis …

Deep transfer learning (DTL) allows for the efficient building of intelligent fault diagnosis
systems (IFDS). On the other hand, DTL methods still heavily rely on large amounts of …

With the rapid development of modern industry and science and technology, mechanical
equipment has become larger, faster and more intelligent. In real life, there is no absolutely …