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http://dx.doi.org/10.5370/KIEE.2010.59.9.1673

Ubiquitous Networking based Intelligent Monitoring and Fault Diagnosis Approach for Photovoltaic Generator Systems  

Cho, Hyun-Cheol (울산과학대학 전기전자학부)
Sim, Kwang-Yeal (울산과학대학 전기전자학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.59, no.9, 2010 , pp. 1673-1679 More about this Journal
Abstract
A photovoltaic (PV) generator is significantly regarded as one important alternative of renewable energy systems recently. Fault detection and diagnosis of engineering dynamic systems is a fundamental issue to timely prevent unexpected damages in industry fields. This paper presents an intelligent monitoring approach and fault detection technique for PV generator systems by means of artificial neural network and statistical signal detection theory. We devise a multi-Fourier neural network model for representing dynamics of PV systems and apply a general likelihood ratio test (GLRT) approach for investigating our decision making algorithm in fault detection and diagnosis. We make use of a test-bed of ubiquitous sensor network (USN) based PV monitoring systems for testing our proposed fault detection methodology. Lastly, a real-time experiment is accomplished for demonstrating its reliability and practicability.
Keywords
Photovoltaic generator; Fault detection; Neural network; GLRT; Ubiquitous sensor networking;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 0
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