PATTERN RECOGNITION FOR FAULT DIAGNOSIS OF SOLAR POWER INVERTER BY TRAJECTORY IMAGE UNDERSTANDING

JaeHo Hwang, Nanhwa Kim, Naejoung Kwak, WonPyo Hong

2010

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 477-480. DOI: 10.5220/0002815504770480

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={477-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002815504770480},
isbn={978-989-674-029-0},
}

in EndNote Style

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