A chaotic system-based signal identification Technology: Fault-diagnosis of industrial bearing system-Reference-Cited by-同舟云学术

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A chaotic system-based signal identification Technology: Fault-diagnosis of industrial bearing system

Published:2021-02 Issue: Volume:171 Page:108832
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Shih-Yu,Gu Kai-Ren,Huang Sheng-Chieh

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference56 articles.

1. A Review On Data-Driven Fault Severity Assessment In Rolling Bearings;Cerrada;Mech. Syst. Signal Process,2018

2. Vibration-Based Condition Monitoring: Industrial, Aerospace and Automotive Applications;Randall,2010

3. Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions;Ragab;J. Intell. Manuf.,2019

4. Bifurcation and nonlinear dynamic behaviours of a metal mesh damped flexible pivot tilting pad gas bearing system;Liu;Nonlinear Dyn.,2018

5. Health Degradation Monitoring and Early Fault Diagnosis of a Rolling Bearing Based on CEEMDAN and Improved MMSE;Lv;Materials,2018

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review on deep learning classifiers for faults diagnosis of rotating industrial machinery;Service Oriented Computing and Applications;2024-07-29

2. Correlation warping radius tracking for condition monitoring of rolling bearings under varying operating conditions;Mechanical Systems and Signal Processing;2024-02

3. Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings;IEEE Transactions on Industrial Informatics;2023-11

4. The Performance Investigation of Smart Diagnosis for Bearings Using Mixed Chaotic Features with Fractional Order;Sensors;2023-04-07

5. Failure diagnosis system using a new nonlinear mapping augmentation approach for deep learning algorithm;Mechanical Systems and Signal Processing;2022-06

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