Three frequency estimation algorithms are considered and their performance evaluated against real data, represented by pantograph voltage and current signals on AC railways. The three algorithms have different characteristics: the “four parameter sine wave fitting” (4PSF) algorithm is based on LSE against single frequency model, the “phase sensitive frequency estimation” (PSFE) algorithm is based on phase difference against a single frequency model and the “multi harmonic frequency estimator” MHFE is based on LSE against multi-harmonic frequency model. The results show that all algorithms can deal with highly distorted signals with various success and that none of them can be assigned a-priori as the best for a specific task.

Performance of three algorithms for the fundamental frequency estimation against 16.7 Hz railways data

MARISCOTTI, ANDREA
2012-01-01

Abstract

Three frequency estimation algorithms are considered and their performance evaluated against real data, represented by pantograph voltage and current signals on AC railways. The three algorithms have different characteristics: the “four parameter sine wave fitting” (4PSF) algorithm is based on LSE against single frequency model, the “phase sensitive frequency estimation” (PSFE) algorithm is based on phase difference against a single frequency model and the “multi harmonic frequency estimator” MHFE is based on LSE against multi-harmonic frequency model. The results show that all algorithms can deal with highly distorted signals with various success and that none of them can be assigned a-priori as the best for a specific task.
2012
9781457717710
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/630585
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