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Communication Dans Un Congrès Année : 2015

SEIG-based Wind Turbine Condition Monitoring using Stray Flux Instantaneous Frequency Estimation

Résumé

For economic and environmental reasons, wind turbines are becoming a potential renewable power source that could replace conventional fossil-fuelled plants. In remote areas where the power grid is unavailable, these wind plants may be equipped with self-excited induction generators. Order to maximize their productivity, the generators condition has to be continually monitored. For this purpose, many processing techniques have been interested to the analysis of fluently known signals such that vibration, ultrasound, acoustic emission, temperature, electrical amounts, etc. In this work, we present an innovative approach for monitoring the drive speed of such generator. The proposed technique is based on estimation of the instantaneous frequency related to the signal stemming from a stray flux sensor. Experimental investigations conducted on a laboratory test-rig have shown promising results in terms of speed monitoring by the employ of a low-cost sensor.
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Dates et versions

hal-01161625 , version 1 (08-06-2015)

Identifiants

  • HAL Id : hal-01161625 , version 1

Citer

Mohamed Salah, Khmais Bacha, Abdelkader Chaari, Mohamed Benbouzid. SEIG-based Wind Turbine Condition Monitoring using Stray Flux Instantaneous Frequency Estimation. 2015 IEEE ISIE, IEEE, Jun 2015, Buzios - Rio de Janeiro, Brazil. pp.925-930. ⟨hal-01161625⟩
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