Detection of discharge activities during pulsed-electric-field food processing

A. M. Gaouda; Ayman H. El-Hag; Shesha H. Jayaram

doi:10.1109/TIA.2009.2036516

Detection of discharge activities during pulsed-electric-field food processing

A. M. Gaouda, Ayman H. El-Hag, Shesha H. Jayaram

Department of Electrical and Communication Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This paper presents a wavelet-based technique for monitoring food treatment process using pulsed electric field (PEF). The changes in the features of the applied pulses are extracted and used to monitor transient changes like internal arcing inside the processed food and/or the external arcing in the high-voltage pulse power supply. Compared to the classical fast Fourier transform, direct application of wavelet transform can be used effectively to predict the closeness of an arcing event and distinguish between internal and external arcing activities. This technique can be used as an integral part to monitor the quality control of the PEF process.

Original language	English
Article number	5337941
Pages (from-to)	16-22
Number of pages	7
Journal	IEEE Transactions on Industry Applications
Volume	46
Issue number	1
DOIs	https://doi.org/10.1109/TIA.2009.2036516
Publication status	Published - Jan 2010

Keywords

Food processing
Kaiser's window
Multiresolution analysis
Pulsed electric field (PEF)
Wavelet transform

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/TIA.2009.2036516

Cite this

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abstract = "This paper presents a wavelet-based technique for monitoring food treatment process using pulsed electric field (PEF). The changes in the features of the applied pulses are extracted and used to monitor transient changes like internal arcing inside the processed food and/or the external arcing in the high-voltage pulse power supply. Compared to the classical fast Fourier transform, direct application of wavelet transform can be used effectively to predict the closeness of an arcing event and distinguish between internal and external arcing activities. This technique can be used as an integral part to monitor the quality control of the PEF process.",

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AB - This paper presents a wavelet-based technique for monitoring food treatment process using pulsed electric field (PEF). The changes in the features of the applied pulses are extracted and used to monitor transient changes like internal arcing inside the processed food and/or the external arcing in the high-voltage pulse power supply. Compared to the classical fast Fourier transform, direct application of wavelet transform can be used effectively to predict the closeness of an arcing event and distinguish between internal and external arcing activities. This technique can be used as an integral part to monitor the quality control of the PEF process.

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KW - Multiresolution analysis

KW - Pulsed electric field (PEF)

KW - Wavelet transform

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Detection of discharge activities during pulsed-electric-field food processing

Abstract

Keywords

ASJC Scopus subject areas

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