Deep Learning based Fault Diagnosis in Electrical Machinery in Industrial Sector based on Data Mining Techniques-Reference-Cited by-同舟云学术

Deep Learning based Fault Diagnosis in Electrical Machinery in Industrial Sector based on Data Mining Techniques

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
language:
Short-container-title:

Author:

Hanumanthakari Sudheer¹,Garg Neha²,Chandrakanth P³,Dhaliwal Navdeep⁴,Ramadevi R⁵,Chinka Siva Sankara Babu⁶

Affiliation:

1. ICFAI Foundation for higher Education,Department of Electronics and Communication Engineering,Hyderabad,Telangana,India

2. Graphic Era Deem to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

3. Audisankara College of Engineering and Technology,Department of Computer Science and Engineering,Gudur,Andhra Pradesh,India

4. Lovely Professional University,Division of Research and Development,Phagwara,Punjab,India

5. SIMATS School of Engineering, SIMATS,Department of Biomedical Engineering,Chennai,Tamil Nadu,India

6. Lakireddy Bali Reddy College of Engineering,Department of Mechanical Engineering,Mylavaram,Andhra Pradesh,India

Publisher

IEEE

Link

Reference25 articles.

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. Detection, Prevention, and Monitoring Techniques for Industrial Equipment – a brief review;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27