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 objective of this paper is to present a comprehensive review of the contemporary
techniques for fault detection, diagnosis, and prognosis of rolling element bearings (REBs) …

An article describes an early fault diagnostic technique based on acoustic signals. The
presented technique was used for a single-phase induction motor. The authors measured …

An early diagnosis of faults prevents financial loss and downtimes in the industry. In this
paper the authors presented the early fault diagnostic technique of stator faults of the single …

Single-phase induction motors are used in the industry commonly. Induction motors are not
expensive, so it is a reason to use them. Diagnostics of faults is very important. It prevents …

Accurate fault diagnosis is vital for modern maintenance strategies to improve machinery
reliability and efficiency. Automated predictive tools, such as deep learning, are gaining …

Electric motors find widespread application across various industrial fields. The pursuit of
enhanced comprehensive electric motors performance has consistently drawn significant …

This paper presents a study on vibration‐based fault diagnosis techniques of a commutator
motor (CM). Proposed techniques used vibration signals and signal processing methods …

This study examines the impact of the mother wavelet, sensor selection, and machine
learning (ML) models for smart fault diagnosis of rotating machines via discrete wavelet …

Artificial intelligence (AI) techniques, which can effectively analyze massive amounts of fault
data and automatically provide accurate diagnosis results, have been widely applied to fault …