Deep Learning Application in Mechatronics Systems’ Fault Diagnosis, a Case Study of the Demand-Controlled Ventilation and Heating System-Reference-Cited by-同舟云学术

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Deep Learning Application in Mechatronics Systems’ Fault Diagnosis, a Case Study of the Demand-Controlled Ventilation and Heating System

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 Advances in Science and Engineering Technology International Conferences (ASET)
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Author:

Behravan Ali,Abboush Mohammad,Obermaisser Roman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8710173/8714197/08714453.pdf?arnumber=8714453

Cited by 5 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. Enhanced performance of the mechanical respiratory system by FPGA-digital based on PID Controller;Cogent Engineering;2023-08-22

2. Research on equipment safety fault diagnosis method based on multi‐sensor fusion deep network in mechatronics equipment environment;Internet Technology Letters;2023-07-31

3. Improving the Efficiency of Fan Coil Units in Hotel Buildings through Deep-Learning-Based Fault Detection;Sensors;2023-07-27

4. Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis;Energy and AI;2023-04

5. Data-Driven Analytics for Reliability in the Buildings-to-Grid Integrated System Framework: A Systematic Text-Mining-Assisted Literature Review and Trend Analysis;IEEE Access;2023

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