CNN-LSTM-AE Based Predictive Maintenance Using STFT for Rotating Machinery-Reference-Cited by-同舟云学术

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CNN-LSTM-AE Based Predictive Maintenance Using STFT for Rotating Machinery

Published:2023-12-14 Issue: Volume: Page:80-85
ISSN:
Container-title:2023 IEEE/ACIS 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD)
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Author:

Gong Seokhyun¹,Lee Jaehyeong¹,Lee Chae-gyu¹,Jeong Jongpil¹,Choi Wonmin²,Kim Chanyoung³,Park Jungsoo³,Kim Jongheon⁴

Affiliation:

1. Sungkyunkwan University,Dept. Smart Factory Convergence,Suwon,Republic of Korea,16419

2. Sungkyunkwan University,Dept. Electronic and Electrical Engineering,Suwon,Republic of Korea,16419

3. Sungkyunkwan University,Dept. Mechanical Engineering,Suwon,Republic of Korea,16419

4. Sungkyunkwan University,Dept. Systems Management Engineering,Suwon,Republic of Korea,16419

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10466269/10466270/10466277.pdf?arnumber=10466277

Reference20 articles.

1. Industry 4.0

2. Industry 4.0 technologies: Implementation patterns in manufacturing companies

3. Machine learning: Trends, perspectives, and prospects

4. A data mining approach for fault diagnosis: An application of anomaly detection algorithm

5. CNN and GRU combination scheme for Bearing Anomaly Detection in Rotating Machinery Health Monitoring

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