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Authors: JaeHo Hwang ; Nanhwa Kim ; Naejoung Kwak and WonPyo Hong

Affiliation: Hanbat National University, Korea, Republic of

Keyword(s): Pattern Recognition, Image Understanding, Fault Diagnosis, Decision Tree.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: This paper presents an approach based on pattern recognition to detect and diagnose faults of solar power inverter by its fault trajectory image understanding. The drive system for simulation is modeled using Matlab Simulink toolboxes. Solar power device uses control/filter structure to connect the pulse width modulation (PWM) inverter. Multistage diagnosis factors are calculated from faults patterning procedure. It is based on the analysis of the vector trajectory and of the space syntax in faulty image mode.

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Paper citation in several formats:
Hwang, J., Kim, N., Kwak, N. and Hong, W. (2010). PATTERN RECOGNITION FOR FAULT DIAGNOSIS OF SOLAR POWER INVERTER BY TRAJECTORY IMAGE UNDERSTANDING. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 477-480. DOI: 10.5220/0002815504770480

@conference{visapp10,
author={JaeHo Hwang and Nanhwa Kim and Naejoung Kwak and WonPyo Hong},
title={PATTERN RECOGNITION FOR FAULT DIAGNOSIS OF SOLAR POWER INVERTER BY TRAJECTORY IMAGE UNDERSTANDING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={477-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002815504770480},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - PATTERN RECOGNITION FOR FAULT DIAGNOSIS OF SOLAR POWER INVERTER BY TRAJECTORY IMAGE UNDERSTANDING
SN - 978-989-674-029-0
IS - 2184-4321
AU - Hwang, J.
AU - Kim, N.
AU - Kwak, N.
AU - Hong, W.
PY - 2010
SP - 477
EP - 480
DO - 10.5220/0002815504770480
PB - SciTePress

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