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Acoustic resonance detection using statistical methods of voltage envelope characterization in metal halide lamps

Lei, Fang and Dupuis, Pascal and Durrieu, Olivier and Zissis, Georges and Maussion, Pascal Acoustic resonance detection using statistical methods of voltage envelope characterization in metal halide lamps. (2017) IEEE Transactions on Industry Applications, 53 (6). 5988 -5996. ISSN 0093-9994

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Official URL: https://doi.org/10.1109/TIA.2017.2742978

Abstract

Acoustic resonance (AR) phenomenon occurs in metal halide lamps and can cause light flicker, lamp arc bending and rotation, lamp extinction, and in the worst case, arc tube explosion. This study takes place in the context of developing electronic ballasts with robust AR detection and avoidance mechanisms. To this end, a lock-in amplifier is used to measure and characterize lamp voltage root mean square (rms) short-term fluctuations. Statistical criteria based on the standard deviation of this rms value are proposed to assess AR presence and classify its severity. A set of metal halide lamps from different manufacturers and with different powers were tested. The average electrical power and AR level are controlled by adjusting the lamp operating frequency of high-frequency electronic ballast. The proposed criteria enable classifying healthy (without AR) and faulty (with AR) cases based upon either a two-dimensional plane or a boxplot. Regardless of lamp operating power, the results from this study show that the voltage rms variations and the defined criteria are significantly correlated with AR level.

Item Type:Article
HAL Id:hal-02001394
Audience (journal):International peer-reviewed journal
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Laboratory name:
Funders:
China Science Council
Statistics:download
Deposited By: Pascal MAUSSION
Deposited On:09 Jan 2019 16:20

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