Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Similar papers

Open access Oct 2026

Deep Learning-Based Methods for Rolling Bearing Fault Diagnosis: Optimization and Comparison

Rolling bearings are the vital support elements of industrial rotating machinery. Operational conditions have a direct impact on the safety, dependability and economical operation and maintenance of the production system. An effective and accurate fault diagnosis technology is very important for predictive maintenance...

Ze-Xin Yin · 0 citations
Conference Open access Sep 2026

Bearing fault detection and identification using Statistical Features and Feedforward Neural Network

Rolling bearings are among the most critical components in rotating machinery, and their reliable condition assessment is essential for preventing unexpected failures and enabling predictive maintenance strategies. In this study, a lightweight and automated methodology is proposed for bearing Fault Detection (FD) and F...

C. Cosenza, M. Spirto, Francesco Melluso et al. · 0 citations
Sep 2026

A strong noise-bearing fault diagnosis method based on A-CPO dual-stage associated parameter optimization

In practical rolling bearing fault diagnosis, the bearing vibration signals collected by sensors are often mixed with a large amount of noise, which blurs key fault features and reduces the distinguishability among different types of faults. This issue not only undermines the reliability of feature extraction but als...

Xubing Shi, Xiao-Qiang Zhao · 0 citations
Review Open access Sep 2026

Advances and Challenges in Non-Contact Acoustic Signal-Based Bearing Fault Diagnosis: A Review

Bearings are core components of rotating machinery, and the development of precise and efficient fault diagnosis technologies is of paramount importance for realizing early warning and accurate localization of faults. This paper briefly analyzes bearing fault mechanisms and provides a comprehensive review and critical...

Sheng-Kai Zhao, Hong-Jie Cheng, Yuan Zhao et al. · 0 citations
Open access Sep 2026

Bearing fault classification in induction motors using current spectrum analysis and artificial neural network

This work integrates FFT-based current spectrum analysis, PCA-based feature reduction, and ANN classification into a unified non-invasive diagnosis framework for bearing fault detection, providing a simple, adaptive, and reliable solution for early bearing fault detection without requiring additional mechanical sensors...

O. A. Qudsi, E. Purwanto, S. M. I. Taufik et al. · 0 citations
Review Open access Aug 2026

Incipient fault diagnosis of rolling element bearings using vibration, sound and tribological analysis: A literature review

Rolling element bearings are used in rotating machines in aviation, chemical, and nuclear industries. A failure to detect faults in the rolling bearing causes unexpected breakdown of rotating machines. Detecting bearing defects early on is still a challenge since micro- faults have less energy. Early-stage defects fro...

Umakant Banswarti, S. Pandey · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.