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Research article

First published 2016-9

Fault diagnostics of rolling bearings using feature fusion based BP,RBF and PNN neural networks

Yuhua Cheng, Chun Yin, Libing Bai [...]

International Journal of Applied Electromagnetics and Mechanics

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Research article

First published 2020-3

Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings

David Benjamin Verstraete, Enrique López Droguett, Viviana Meruane [...]

Structural Health Monitoring

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Research article

First published 2026-1

Multi-condition bearing fault diagnosis method based on RP–MBRN

Linghui Meng, Jinyang Xie, Liye Cheng [...]

Structural Health Monitoring

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Research article

First published 2024-9

Adaptive bearing fault diagnosis using reference frequency and modified scalogram

Taehwan Ko, Jaewoong Park, Junmyoung Jang [...]

Structural Health Monitoring

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Research article

First published 2019-5

Combination of envelope spectra and generative topographic mapping to diagnose bearing fault and evaluate degradation of bearing

VM Nistane, SP Harsha

Noise & Vibration Worldwide

Open access

Research article

First published 2020-4

Diagnosing faults in rolling-element bearings of rotor systems equipped with vibration dampers

Vladas Vekteris, Andrius Trumpa, Vytautas Turla [...]

Advances in Mechanical Engineering

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Research article

First published 2025-9

Knowledge-driven subdomain adaptation for bearing fault diagnosis

Nguyen Thi Hue, Nguyen Duc Thuan, Hoang Si Hong

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2023-7

Intelligent diagnosis method of bearing fault based on ICEEMDAN and Ghost-IRCNN

Xueyan Zou, Deqiang He, Zhenzhen Jin [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

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Research article

First published 2022-8

A new fault diagnosis model of rolling element bearing based on a recurrent neural network

Xudong Song, Dajie Zhu, Shaocong Sun

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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Research article

First published 2020-1

A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory

Kun Yu, Tian Ran Lin, Jiwen Tan

Structural Health Monitoring

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