Edge-Intelligence-Based Condition Monitoring of Beam Pumping Units Under Heavy Noise in Industrial Internet of Things for Industry 4.0-Reference-Cited by-同舟云学术

Edge-Intelligence-Based Condition Monitoring of Beam Pumping Units Under Heavy Noise in Industrial Internet of Things for Industry 4.0

Published:2023-02-15 Issue:4 Volume:10 Page:3037-3046
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Song Chunhe¹^ORCID,Liu Shuo¹^ORCID,Han Guangjie²^ORCID,Zeng Peng¹^ORCID,Yu Haibin¹^ORCID,Zheng Qingyuan³

Affiliation:

1. State Key Laboratory of Robotics, the Shenyang Institute of Automation, the Key Laboratory of Networked Control Systems, and the Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China

2. Changzhou Key Laboratory of Internet of Things Technology for Intelligent River and Lake, Hohai University, Changzhou, China

3. School of Automation, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

Jiangsu Key Research and Development Program

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10038283/09675823.pdf?arnumber=9675823

Reference43 articles.

1. Analysis on Energy-saving Technology of Oil Field Pumping Unit

2. Cloud computing based demand response management using deep reinforcement learning;song;IEEE Trans Cloud Comput,2021

3. Simulation Research On Hydraulic Energy Regulation System of Beam Pumping Unit

4. QoE-Driven Edge Caching in Vehicle Networks Based on Deep Reinforcement Learning

5. A Fault Diagnosis Model of Pumping Unit Based on BP Neural Network

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