Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

The paper presents some basic tools for vibration signals with application in predictive
maintenance of rotating machines. After an overview of the maintenance approach, the …

As one of the key components in rotating machinery, rolling bearings can affect the running
state of equipment and even cause huge damage. Therefore, various methods have been …

Despite the recent advances in supervised ML-based methods for fault bearing detection is
that most published work uses only vibration data for damage detection. However …

This paper describes the development of a fault diagnosis method for identifying different
fault conditions in the rolling bearings and gears of wind turbines. For the fault signal, the …

In modern diagnostic approaches, the key step consists in generating the features related to
fault type and severity. In fact, the generated features should be able to help the classifier to …

In order to further improve the accuracy of fault identification of rolling bearings, a fault
diagnosis method based on the modified particle swarm optimization (MPSO) algorithm …

The diesel engine, as the main power source of equipment, faces practical problems in the
maintenance process, such as difficulty in fault location and a lack of preventive …

The high-end equipment represented by high-end machine tools and aero-engines is the
core component of the national intelligent manufacturing plan, and the mass unbalance is …

Bearing pitting, one of the common faults in mechanical systems, is a research hotspot in
both academia and industry. Traditional fault diagnosis methods for bearings are based on …