Higher-order statistics for power systems: Effects of the sampling frequency on ergodicity

Alameda-Hernández, E.; Montoya, Francisco G.; Mercado-Vargas, M.J.; Botella, Guillermo

doi:10.1016/j.apm.2016.02.004

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…LMS algorithms were analysed by the authors previously [5], but not compared to any other pure adaptive algorithm, like the RLS here. Finally, due to the estimation process inherent in this kind of problems, where in some cases statistical magnitudes are computed from time averages of signal samples assuming ergodicity [6], considering more equations than model order parameters -that are the unknowns in this problem-is likely to yield more accurate results. Based on this idea, overdetermined implementations of the methods discussed in the previous paragraphs are also considered.…”

Section: Introductionmentioning

confidence: 99%

Least-squares versus LMS parametric approaches for power quality events segmentation

Alameda-Hernández¹,

Aznar²,

Gil³

et al. 2017

REPQJ

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Power quality monitoring requires knowing when the start of the perturbation takes place, and also when it ends; in this way, the voltage or current signals are divided into segments. In this work, we follow previously developed ideas in the literature and resort to parametric modelling to achieve the perturbed signal segmentation. What we propose here is the use of adaptive AR modelling identification, in particular Recursive Least Squares and Least Mean Squares, as opposed to a block-based approach used elsewhere. Overdetermined systems, both block-wise and adaptively are also included among the analysed methods. Simulations show that although being computationally lighter, and hence more suitable to real-time implementations, segments limits are accurately located by adaptive algorithms most of the cases.

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Section: Introductionmentioning

confidence: 99%

Least-squares versus LMS parametric approaches for power quality events segmentation

Alameda-Hernández¹,

Aznar²,

Gil³

et al. 2017

REPQJ

View full text Add to dashboard Cite

show abstract

Comparative analysis of segmentation methods, including adaptive and HOS based algorithms

Alameda-Hernández¹,

Aznar²,

Botella

2016

2016 17th International Conference on Harmonics and Quality of Power (ICHQP)

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Multiscale Analysis of Powder-Propellant Conveying Stability Through a Nozzle

Sun

2019

Journal of Fluids Engineering

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The conveying stability of the powder propellant is significant for the feeding-system design and particle-combustion performance of powder engines. In this study, a nozzle structure was employed to increase the conveying stability in a pipeline. The gas–solid flow through the nozzle was visualized, and the pressure signals were analyzed using multiscale methods: the standard deviation, wavelet transform, and higher order statistics. The nozzle structure helped to reorganize the downstream gas–solid by accelerating the gas–solid two-phase flow. The results for the standard deviation indicated that the upstream was more stable and less affected by the downstream at higher fluidized pressures. Through wavelet analysis, the energy fraction of the frequency band was used to represent the gas–solid characteristics, and the particle collision and nonlinear drag of the gas–solid interaction represented by the low-frequency band were determined to be the main factors affecting the downstream stability. Additionally, a high fluidized pressure (>2 MPa) yielded a relatively stable downstream flow. The higher order statistics method provided a better result than the standard deviation because of its high resolution and strong noise suppression. The analysis results indicate that increasing the particle size enhances the downstream stability.

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Higher-order statistics for power systems: Effects of the sampling frequency on ergodicity

Cited by 3 publications

References 36 publications

Least-squares versus LMS parametric approaches for power quality events segmentation

Least-squares versus LMS parametric approaches for power quality events segmentation

Comparative analysis of segmentation methods, including adaptive and HOS based algorithms

Multiscale Analysis of Powder-Propellant Conveying Stability Through a Nozzle

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