Intelligent Status Diagnosis System for Water Circulation Device-Reference-Cited by-同舟云学术

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Intelligent Status Diagnosis System for Water Circulation Device

Published:2024-04-17 Issue: Volume: Page:1-3
ISSN:
Container-title:2024 10th International Conference on Applied System Innovation (ICASI)
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Author:

Lee Jeng-Dao¹,Ye Yu-Cheng¹,Ho Chi-Ting²,Liu Guan-Zhi²,Chen Lin-Yin¹,Hung Ying-Hsiu³

Affiliation:

1. Smart Machinery and Intelligent Manufacturing Research Center, National Formosa University,Department of Automation Engineering,Hu-Wei,Yunlin,Taiwan

2. National Formosa University,Department of Mechanical Design Engineering,Hu-Wei,Yunlin,Taiwan

3. Doctor's Program of Smart Industry Technology Research and Design, National Formosa University,Hu-Wei,Yunlin,Taiwan (R.O.C.)

Funder

Ministry of Science and Technology of Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10547719/10547721/10547744.pdf?arnumber=10547744

Reference5 articles.

1. Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion

2. Fault detection of train mechanical parts using multi-mode aggregation feature enhanced convolution neural network

3. Multi-Feature Fusion-Based Mechanical Fault Diagnosis for On-Load Tap Changers in Smart Grid With Electric Vehicles

4. Mechanical Fault Diagnosis of HVCBs Based on Multi-Feature Entropy Fusion and Hybrid Classifier

5. A Novel Competitive Temporal Convolutional Network for Remaining Useful Life Prediction of Rolling Bearings

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