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

JaeHo Hwang, Nanhwa Kim, Naejoung Kwak, WonPyo Hong

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.

References

  1. Guan, Y., Sun, D., He, Y.(2007).Mean Current Vector Based Online Real-Time Fault Diagnosis for Voltage Source Inverter fed Induction Motor Drives, IEEE International Electric Machines & Drives Conference,2,1114 - 1118.
  2. Son, H.I., Kim, T.J., Kang, D.W., Hyun, D.S.(2004). Fault Diagnosis And Neutral Point Voltage Control When The 3-Level Inverter Fault Occur, IEEE Power Electronics Specialists Conference
  3. Ye, Z. and Wu, B.(2001). Simulation of Electrical Fault of Three Phase Induction Motor Drive System, IEEE Power Electronics Specialists Conference ,1,75 - 80.
  4. Bellini, A., Bifaretti, S., Iacovone, V.(2008). Resonant DC-DC Converters for Photovoltaic Energy Generation Systems, SPEEDAM 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 815-820.
  5. Peuget, R., Courtine, S., Rognon, J.(1998). Fault Detection and Isolation on a PWM Inverter by KnowledgeBased Model, IEEE Transactions on Industry Applications, 34(6), 1318-1326.
Download


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