Using Cloud Computing and the Internet of Things to Construct Vehicle Condition Fault Diagnosis Platform-Reference-Cited by-同舟云学术

Using Cloud Computing and the Internet of Things to Construct Vehicle Condition Fault Diagnosis Platform

Published:2014-07 Issue: Volume:574 Page:752-755
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Li Jian Hua¹,Zhao Song¹,Wang Ying Ru¹

Affiliation:

1. Xi’an University of Science and Technology

Abstract

Take advantage of cloud computing and the internet of things, combined with the fault diagnosis expert system and knowledge sharing on automobile construction vehicle condition monitoring and fault diagnosis platform, The real-time monitoring of vehicle state in person–cars, cars–cars, enterprises–cars, reliable estimation of vehicle safety problems to improve vehicle driving safety.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.574.752.pdf

Reference5 articles.

1. Jun-zhou Luo, Jia-hui JIN, Ai-bo Song, Dong Fang. Cloud computing: architecture and key technologies. Journal on Communications, 2011(32): 3-18.

2. An-xin Zhao, Jian-jun Lu, Man Cui. Using Internet of Things to construct mine electromechanical equipment ort line monitoring platform. . Journal of Xi'an university of posts and telecommunications, 2011(15)85-87.

3. Guo-peng Yi, Long Zhao. Automobile fault diagnosis technology (The new version). Beijing; China Communications Press, 2011, 4.

4. Dong-fang Wang, Wang-shen Hao, Wei Hao, Xin-min Dong. Research and Application of Equipment Fault Diagnosis Based on Cloud Computing. Coal Mine Machinery, 2011, 32(11): 236-238.

5. Tao Fu. Development of Automotive Fault Real-time Reminding System [D]. Wuhan University Of Technology, (2008).

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