A Comprehensive Approach for Gearbox Fault Detection and Diagnosis Using Sequential Neural Networks-Reference-Cited by-同舟云学术

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A Comprehensive Approach for Gearbox Fault Detection and Diagnosis Using Sequential Neural Networks

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Prognostics and Health Management (ICPHM)
language:
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Author:

Sobha Parvathy¹,Xavier Midhun²,Chandran Praneeth³

Affiliation:

1. Luleå tekniska universitet,Department of Engineering Sciences and Mathematics,Luleå,Sweden

2. Electrical and Space Engineering Luleå tekniska universitet,Department of Computer Science,Luleå,Sweden

3. Luleå tekniska universitet,Department of Civil, Environmental and Natural Resource Engineering,Luleå,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10193873/10193863/10194222.pdf?arnumber=10194222

Reference26 articles.

1. Support Vector Machines;schölkopf;Learning With Kernels-Support Vector Machines Regularization Optimization and Beyond,2001

2. Plant diseases recognition for smart farming using model-based statistical features

3. Supervised Machine Learning Approach for Detecting Missing Clamps in Rail Fastening System from Differential Eddy Current Measurements

4. Energy Management via Anomaly Detection for Manufacturing Enterprises

5. Application of Wavelet Denoising and Time- Frequency Domain Feature Extraction on Data Processing of Modulated Signals

Cited by 1 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 of Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Industrial Open Source Data;2023

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