Signal Based Fault Detection and Diagnosis for Rotating Electrical Machines: Issues and Solutions-Reference-Cited by-同舟云学术

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Signal Based Fault Detection and Diagnosis for Rotating Electrical Machines: Issues and Solutions

Published:2014-11-30 Issue: Volume: Page:275-309
ISSN:1434-9922
Container-title:Complex System Modelling and Control Through Intelligent Soft Computations
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Author:

Giantomassi Andrea,Ferracuti Francesco,Iarlori Sabrina,Ippoliti Gianluca,Longhi Sauro

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12883-2_10

Cited by 10 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. Additive fault diagnosis techniques in rotor systems: a state-of-the-art review;Sādhanā;2024-06-27

2. Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions;IEEE Access;2024

3. Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples;IEEE Transactions on Instrumentation and Measurement;2024

4. Machine Learning Based Method for Impedance Estimation and Unbalance Supply Voltage Detection in Induction Motors;Sensors;2023-09-20

5. Fault Diagnosis Techniques for Nuclear Power Plants: A Review from the Artificial Intelligence Perspective;Energies;2023-02-13

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