Machine health monitoring of rotating mechanical systems is an important task in
manufacturing engineering. In this paper, a system for analyzing and detecting mounting …

This study builds upon previous research that utilised a vibration-based machine learning
(VML) approach for diagnosing rotor-related faults in rotating machinery. The original …

Traditional practice in vibration-based condition monitoring of rotating machines with a
multiple bearing system, such as turbo-generator sets, is data intensive. Since a number of …

Modern condition monitoring of rotating machinery became intelligent for enhanced
reliability, productivity, and safety. Signal processing has been collaboratively implemented …

Failure detection from mechanical vibration analysis is crucial in industry machinery, with
early discovery allowing for preventive action to be performed. This paper introduces a …

Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …

In any industry, it is the requirement to know whether the machine is healthy or not to
operate machine further. If the machine is not healthy then what is the fault in the machine …

The diagnosis of failures in rotating machines has been subject to studies because of its
benefits to maintenance improvement. Condition monitoring reduces maintenance costs …

Fault diagnosis of rotating machines is an important task to prevent machinery downtime,
and provide verifiable support for condition-based maintenance (CBM) decision-making …

Accurate and early detection of machine faults is an important step in the preventive
maintenance of industrial enterprises. It is essential to avoid unexpected downtime as well …