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Mathematical Problems in Engineering
Volume 2013, Article ID 712028, 8 pages
http://dx.doi.org/10.1155/2013/712028
Research Article

A Self-Learning Sensor Fault Detection Framework for Industry Monitoring IoT

1State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
2Information Center of Guangdong Power Grid Corporation, China Southern Power Grid, Guangzhou 510620, China
3Beijing Guotie Huachen Communication & Infomation Technology Co., Ltd., Beijing 10070, China
4Beijing Electronic Science and Technology Institute, Beijing 100070, China

Received 8 June 2013; Accepted 3 August 2013

Academic Editor: Zhongmei Zhou

Copyright © 2013 Yu Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Tiilio P. Vieira, Paulo E. M. Almeida, and Magali R. G. Meireles, “Intelligent fault management system for wireless sensor networks with reduction of power consumption,” 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), pp. 1521–1527, . View at Publisher · View at Google Scholar
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  • Yue Zhang, Nicola Dragoni, and Jiangtao Wang, “A Framework and Classification for Fault Detection Approaches in Wireless Sensor Networks with an Energy Efficiency Perspective,” International Journal of Distributed Sensor Networks, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Wenxue Tan, Chunjiang Zhao, and Huarui Wu, “CNN intelligent early warning for apple skin lesion image acquired by infrared video sensors,” High Technology Letters, vol. 22, no. 1, pp. 67–74, 2016. View at Publisher · View at Google Scholar
  • Alessandro Biason, Chiara Pielli, Michele Rossi, Andrea Zanella, Davide Zordan, Mark Kelly, and Michele Zorzi, “EC-CENTRIC: An Energy- and Context-Centric Perspective on IoT Systems and Protocol Design,” IEEE Access, pp. 1–1, 2017. View at Publisher · View at Google Scholar