A novel fault diagnostic technique for photovoltaic systems based on cascaded forest-Reference-Cited by-同舟云学术

A novel fault diagnostic technique for photovoltaic systems based on cascaded forest

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Smart Internet of Things - SmartIoT '17
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Author:

Hu Liangqing¹,Ye Jin²,Chang Shengqiang³,Li Hongtao²,Chen Hongyu³

Affiliation:

1. Guangxi University, Nanning, China and Guilin University of Electronic Technology and Guangxi Colleges and Universities Key Laboratory of cloud computing and complex systems and Guilin University of Electronic Technology, Guilin, China

2. Guangxi University, Nanning, China

3. Shijiazhuang Kelin Electric Co., Ltd., Shijiazhuang, China

Funder

National Natural Science Foundation of China

Guangxi Cooperative Innovation of Center of cloud computing and Big Data

Guangxi Colleges and Universities Key Laboratory of cloud computing and complex system

Publisher

ACM Press

Reference15 articles.

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2. [Wang Peizhen, Zheng Shicheng et al. Fault analysis of photovoltaic array based on infrared image[J]. Acta Energiae Solaris Sinica, 2010, 31(2): 197--202.

3. Wang Peizhen, Shen Yuliang, Yang Weihan. Research on infrared characteristic of the photovoltaic array[J].Acta Energiae Solaris Sinica, 2005, 26(1): 82--85.

4. Zhang Xiaona, Gao Dedong, Liu Haixiong. A noval method for multi-sensor fault detection and positioning of photovoltaic array[J]. Renewable Energy, 2016, 02:166--172.

5. Zhang Wenjin, Ge Qiang, Huang Chengyang, et al. The photovoltaic array intelligent fault diagnosis based on the BP neural network[J]. Journal of Yangzhou University (Natural Science Edition), 2015, 01:32--35.

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