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NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION

Accurate measurement of temperature, pressure and volume in a gas metering stations is an important aspect to ensure the reliability of billing process. It is highly crucial to have a high degree of measurement accuracy to ensure correct volume of products to be sold. This will ensure value for t...

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Main Author: ROSLI, NURFATIHAH SYALWIAH
Format: Thesis
Language:English
Published: 2016
Online Access:http://utpedia.utp.edu.my/21847/1/2016%20-%20%20ELECTRICAL%20-%20NEURAL%20NETWORK%20PREDICTION%20MODEL%20FOR%20FIELD%20INSTRUMENTS%20IN%20GAS%20METERING%20SYSTEM%20BASED%20ON%20PARTICLE%20SWARM%20OPTIMIZATION-NURFATIHAH%20SYALWIAH%20BINTI%20ROSLI.pdf
http://utpedia.utp.edu.my/21847/
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spelling my-utp-utpedia.218472021-09-24T09:55:05Z http://utpedia.utp.edu.my/21847/ NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION ROSLI, NURFATIHAH SYALWIAH Accurate measurement of temperature, pressure and volume in a gas metering stations is an important aspect to ensure the reliability of billing process. It is highly crucial to have a high degree of measurement accuracy to ensure correct volume of products to be sold. This will ensure value for the money spent by the customer. One of the main problems faced at gas metering systems is an inaccurate gas measurement and unavailability of actual readings from the measuring devices. This scenario will give impact to the instrument readings to become unreliable and this directly affects the -calculation of energy consumptionTTrevious researcher also proposed a prediction model based on healthy instrument reading. However, when the process is in upset condition, the prediction becomes inaccurate. To address this issue, a Neural Network (ANN) prediction model has been proposed to provide a reliable measurement for gas metering systems. 2016-03 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21847/1/2016%20-%20%20ELECTRICAL%20-%20NEURAL%20NETWORK%20PREDICTION%20MODEL%20FOR%20FIELD%20INSTRUMENTS%20IN%20GAS%20METERING%20SYSTEM%20BASED%20ON%20PARTICLE%20SWARM%20OPTIMIZATION-NURFATIHAH%20SYALWIAH%20BINTI%20ROSLI.pdf ROSLI, NURFATIHAH SYALWIAH (2016) NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description Accurate measurement of temperature, pressure and volume in a gas metering stations is an important aspect to ensure the reliability of billing process. It is highly crucial to have a high degree of measurement accuracy to ensure correct volume of products to be sold. This will ensure value for the money spent by the customer. One of the main problems faced at gas metering systems is an inaccurate gas measurement and unavailability of actual readings from the measuring devices. This scenario will give impact to the instrument readings to become unreliable and this directly affects the -calculation of energy consumptionTTrevious researcher also proposed a prediction model based on healthy instrument reading. However, when the process is in upset condition, the prediction becomes inaccurate. To address this issue, a Neural Network (ANN) prediction model has been proposed to provide a reliable measurement for gas metering systems.
format Thesis
author ROSLI, NURFATIHAH SYALWIAH
spellingShingle ROSLI, NURFATIHAH SYALWIAH
NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
author_facet ROSLI, NURFATIHAH SYALWIAH
author_sort ROSLI, NURFATIHAH SYALWIAH
title NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
title_short NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
title_full NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
title_fullStr NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
title_full_unstemmed NEURAL NETWORK PREDICTION MODEL FOR FIELD INSTRUMENTS IN GAS METERING SYSTEM BASED ON PARTICLE SWARM OPTIMZATION
title_sort neural network prediction model for field instruments in gas metering system based on particle swarm optimzation
publishDate 2016
url http://utpedia.utp.edu.my/21847/1/2016%20-%20%20ELECTRICAL%20-%20NEURAL%20NETWORK%20PREDICTION%20MODEL%20FOR%20FIELD%20INSTRUMENTS%20IN%20GAS%20METERING%20SYSTEM%20BASED%20ON%20PARTICLE%20SWARM%20OPTIMIZATION-NURFATIHAH%20SYALWIAH%20BINTI%20ROSLI.pdf
http://utpedia.utp.edu.my/21847/
_version_ 1739832920817795072
score 13.211869

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