A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant

Saeed Rahbarimanesh; Amir Nejat; Amir Rahbarimanesh

A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant

Saeed Rahbarimanesh, Amir Nejat, Amir Rahbarimanesh

Infrastructure and Resilience

Research output: Contribution to conference › Paper › peer-review

Original language	English
Publication status	Published - 14 Sept 2023
Event	The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring) - Northampton Town Centre Hotel, Northampton, United Kingdom Duration: 12 Sept 2023 → 14 Sept 2023 https://www.bindt.org/events-and-awards/cm-2023/

Conference

Conference	The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring)
Country/Territory	United Kingdom
City	Northampton
Period	12/09/23 → 14/09/23
Internet address	https://www.bindt.org/events-and-awards/cm-2023/

Keywords

Data-Driven Modelling
Dynamic Process Modelling
Optimisation
Condition Monitoring
Liquefied Gas Refrigeration
Petrochemical Processing Plant
Liquefied Petroleum Gas (LPG)

Cite this

Rahbarimanesh, S., Nejat, A., & Rahbarimanesh, A. (2023). A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant. Paper presented at The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring), Northampton, United Kingdom.

Rahbarimanesh, Saeed ; Nejat, Amir ; Rahbarimanesh, Amir. / A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant. Paper presented at The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring), Northampton, United Kingdom.

@conference{73d3ed986dcf4bc8bea11fda930a1d04,

title = "A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant",

keywords = "Data-Driven Modelling, Dynamic Process Modelling, Optimisation, Condition Monitoring, Liquefied Gas Refrigeration, Petrochemical Processing Plant, Liquefied Petroleum Gas (LPG)",

author = "Saeed Rahbarimanesh and Amir Nejat and Amir Rahbarimanesh",

year = "2023",

month = sep,

day = "14",

language = "English",

note = "The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring) ; Conference date: 12-09-2023 Through 14-09-2023",

url = "https://www.bindt.org/events-and-awards/cm-2023/",

}

Rahbarimanesh, S, Nejat, A & Rahbarimanesh, A 2023, 'A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant', Paper presented at The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring), Northampton, United Kingdom, 12/09/23 - 14/09/23.

A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant. / Rahbarimanesh, Saeed; Nejat, Amir; Rahbarimanesh, Amir.
2023. Paper presented at The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring), Northampton, United Kingdom.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant

AU - Rahbarimanesh, Saeed

AU - Nejat, Amir

AU - Rahbarimanesh, Amir

PY - 2023/9/14

Y1 - 2023/9/14

KW - Data-Driven Modelling

KW - Dynamic Process Modelling

KW - Optimisation

KW - Condition Monitoring

KW - Liquefied Gas Refrigeration

KW - Petrochemical Processing Plant

KW - Liquefied Petroleum Gas (LPG)

UR - https://www.bindt.org/events-and-awards/cm-2023/abstract-5e2/

M3 - Paper

T2 - The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring)

Y2 - 12 September 2023 through 14 September 2023

ER -

Rahbarimanesh S, Nejat A, Rahbarimanesh A. A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant. 2023. Paper presented at The 19th International Conference on Condition Monitoring and Asset Management (CM2023 - The Future of Condition Monitoring), Northampton, United Kingdom.

A Data-Driven Dynamic Process Modelling and Optimisation Framework for Condition Monitoring of a Liquefied Gas Refrigeration Unit in South Pars Petrochemical Processing Plant

Conference

Keywords

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Cite this