A Machine Learning Based Methodology for Fault Diagnosis in Rotating Machine-Reference-Cited by-同舟云学术

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A Machine Learning Based Methodology for Fault Diagnosis in Rotating Machine

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)
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Author:

Madhukar G¹,Boosi Shyamala²,Adhoni Zameer Ahmed²,Bhaskar K Aruna³,Naik Ashitha V⁴

Affiliation:

1. Department of CSE,India

2. GITAM School of Technology, GITAM University,Department of Computer Science & Engineering,India

3. K L University,Department of Computer Science & Engineering,Vadeeshwaram, Vijayawada,India

4. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099473/10099480/10100301.pdf?arnumber=10100301

Reference15 articles.

1. Optimal Design of Distribution Overhead Powerlines using Genetic Algorithms

2. Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils

3. Straightforward Method for Wide-Area Fault Location on Transmission Networks;azizi;IEEE Trans Power Deliv,2015

4. Transmission line fault detection and location using Wide Area Measurements

5. Thermal Effects of Ground Faults on MV Joints and Cables

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1. Enhancing Predictive Maintenance in Manufacturing: A CNN-LSTM Hybrid Approach for Reliable Component Failure Prediction;Studies in Systems, Decision and Control;2024

2. A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery;Eng;2023-06-26

3. A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis;IEEE Access;2023

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