Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System

Mahmoud Meribout; Imran Saied; Esra Al Hosani

doi:10.1109/ICDCSW.2017.60

Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System

Mahmoud Meribout, Imran Saied, Esra Al Hosani

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a hybrid device for real-time measurement and imaging of solid and liquid contaminants that may occur in steam generators. The device uses a dedicated Near Infra-Red device to determine the type of contaminants and a THz imaging system which measures the amount of contaminants as well as its flow rate. The NIR device can also determine the concentration of contaminants at sub-mg accuracy when its value is relatively low using spectrometry technique combined with principal component analysis (PCA). In case of relatively high concentration, the THz imaging system which uses block-based motion estimation algorithm can determine the velocity of individual contaminant particles to compute the global motion vector, the intensity and direction of which represents the overall flow rate and flow regime of the contaminants. The usage of image processing techniques together with NIR spectrometry constitutes a new promising step in flow metering. This is demonstrated by the extensive experiments which have been conducted for different scenario where the NIR subsystem system could determine the concentration of water droplets and solid contaminants with a maximum uncertainty of +/- 1.45% and +/- 1.16% respectively.

Original language	British English
Title of host publication	Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017
Editors	Joao E. Ferreira, Teruo Higashino, Aibek Musaev
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	119-124
Number of pages	6
ISBN (Electronic)	9781538632925
DOIs	https://doi.org/10.1109/ICDCSW.2017.60
State	Published - 13 Jul 2017
Event	37th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2017 - Atlanta, United States Duration: 5 Jun 2017 → 8 Jun 2017

Publication series

Name	Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017

Conference

Conference	37th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2017
Country/Territory	United States
City	Atlanta
Period	5/06/17 → 8/06/17

Keywords

Monitoring of Steam Generator
Near Infra Red Sensor
TeraHertz imaging System

Access to Document

10.1109/ICDCSW.2017.60

Cite this

Meribout, M., Saied, I., & Hosani, E. A. (2017). Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System. In J. E. Ferreira, T. Higashino, & A. Musaev (Eds.), Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017 (pp. 119-124). Article 7979804 (Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCSW.2017.60

Meribout, Mahmoud ; Saied, Imran ; Hosani, Esra Al. / Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System. Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017. editor / Joao E. Ferreira ; Teruo Higashino ; Aibek Musaev. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 119-124 (Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017).

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title = "Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System",

abstract = "This paper presents a hybrid device for real-time measurement and imaging of solid and liquid contaminants that may occur in steam generators. The device uses a dedicated Near Infra-Red device to determine the type of contaminants and a THz imaging system which measures the amount of contaminants as well as its flow rate. The NIR device can also determine the concentration of contaminants at sub-mg accuracy when its value is relatively low using spectrometry technique combined with principal component analysis (PCA). In case of relatively high concentration, the THz imaging system which uses block-based motion estimation algorithm can determine the velocity of individual contaminant particles to compute the global motion vector, the intensity and direction of which represents the overall flow rate and flow regime of the contaminants. The usage of image processing techniques together with NIR spectrometry constitutes a new promising step in flow metering. This is demonstrated by the extensive experiments which have been conducted for different scenario where the NIR subsystem system could determine the concentration of water droplets and solid contaminants with a maximum uncertainty of +/- 1.45% and +/- 1.16% respectively.",

keywords = "Monitoring of Steam Generator, Near Infra Red Sensor, TeraHertz imaging System",

author = "Mahmoud Meribout and Imran Saied and Hosani, {Esra Al}",

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doi = "10.1109/ICDCSW.2017.60",

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Meribout, M, Saied, I & Hosani, EA 2017, Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System. in JE Ferreira, T Higashino & A Musaev (eds), Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017., 7979804, Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017, Institute of Electrical and Electronics Engineers Inc., pp. 119-124, 37th IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2017, Atlanta, United States, 5/06/17. https://doi.org/10.1109/ICDCSW.2017.60

Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System. / Meribout, Mahmoud; Saied, Imran; Hosani, Esra Al.
Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017. ed. / Joao E. Ferreira; Teruo Higashino; Aibek Musaev. Institute of Electrical and Electronics Engineers Inc., 2017. p. 119-124 7979804 (Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Saied, Imran

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N2 - This paper presents a hybrid device for real-time measurement and imaging of solid and liquid contaminants that may occur in steam generators. The device uses a dedicated Near Infra-Red device to determine the type of contaminants and a THz imaging system which measures the amount of contaminants as well as its flow rate. The NIR device can also determine the concentration of contaminants at sub-mg accuracy when its value is relatively low using spectrometry technique combined with principal component analysis (PCA). In case of relatively high concentration, the THz imaging system which uses block-based motion estimation algorithm can determine the velocity of individual contaminant particles to compute the global motion vector, the intensity and direction of which represents the overall flow rate and flow regime of the contaminants. The usage of image processing techniques together with NIR spectrometry constitutes a new promising step in flow metering. This is demonstrated by the extensive experiments which have been conducted for different scenario where the NIR subsystem system could determine the concentration of water droplets and solid contaminants with a maximum uncertainty of +/- 1.45% and +/- 1.16% respectively.

AB - This paper presents a hybrid device for real-time measurement and imaging of solid and liquid contaminants that may occur in steam generators. The device uses a dedicated Near Infra-Red device to determine the type of contaminants and a THz imaging system which measures the amount of contaminants as well as its flow rate. The NIR device can also determine the concentration of contaminants at sub-mg accuracy when its value is relatively low using spectrometry technique combined with principal component analysis (PCA). In case of relatively high concentration, the THz imaging system which uses block-based motion estimation algorithm can determine the velocity of individual contaminant particles to compute the global motion vector, the intensity and direction of which represents the overall flow rate and flow regime of the contaminants. The usage of image processing techniques together with NIR spectrometry constitutes a new promising step in flow metering. This is demonstrated by the extensive experiments which have been conducted for different scenario where the NIR subsystem system could determine the concentration of water droplets and solid contaminants with a maximum uncertainty of +/- 1.45% and +/- 1.16% respectively.

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Meribout M, Saied I, Hosani EA. Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System. In Ferreira JE, Higashino T, Musaev A, editors, Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 119-124. 7979804. (Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017). doi: 10.1109/ICDCSW.2017.60

Real-Time Monitoring of Steam-Based Electrical Generators Using a Multi-sensing Imaging System

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