Predictive prognostic modelling of refrigeration systems

A refrigeration system refers to a mechanical process of controlling and regulating the thermodynamic cycle, resulting in the cooling of between two points. It is widely used in substantial buildings comprising multiple storages such as shopping malls, hotels, hospitals and office towers. Predictive...

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Bibliographic Details
Main Author: Zhou, Qin Tian
Other Authors: Meng-Hiot Lim
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176508
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author Zhou, Qin Tian
author2 Meng-Hiot Lim
author_facet Meng-Hiot Lim
Zhou, Qin Tian
author_sort Zhou, Qin Tian
collection NTU
description A refrigeration system refers to a mechanical process of controlling and regulating the thermodynamic cycle, resulting in the cooling of between two points. It is widely used in substantial buildings comprising multiple storages such as shopping malls, hotels, hospitals and office towers. Predictive and prognostic modelling represents statistical techniques aimed at predicting future risks or events. Predictive modelling endeavors to anticipate future behaviors based on historical data while prognostic analytics looks for causes and effects. Applying the predictive Machine Learning (ML) methodologies and refrigeration system fundamentals to the database of refrigeration system, this project aims to build a predictive and prognostic model to detect and forecast system faults
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spelling ntu-10356/1765082024-05-17T15:45:56Z Predictive prognostic modelling of refrigeration systems Zhou, Qin Tian Meng-Hiot Lim School of Electrical and Electronic Engineering EMHLIM@ntu.edu.sg Engineering Predictive model Refrigeration system A refrigeration system refers to a mechanical process of controlling and regulating the thermodynamic cycle, resulting in the cooling of between two points. It is widely used in substantial buildings comprising multiple storages such as shopping malls, hotels, hospitals and office towers. Predictive and prognostic modelling represents statistical techniques aimed at predicting future risks or events. Predictive modelling endeavors to anticipate future behaviors based on historical data while prognostic analytics looks for causes and effects. Applying the predictive Machine Learning (ML) methodologies and refrigeration system fundamentals to the database of refrigeration system, this project aims to build a predictive and prognostic model to detect and forecast system faults Bachelor's degree 2024-05-17T02:56:03Z 2024-05-17T02:56:03Z 2024 Final Year Project (FYP) Zhou, Q. T. (2024). Predictive prognostic modelling of refrigeration systems. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176508 https://hdl.handle.net/10356/176508 en B2130-231 application/pdf Nanyang Technological University
spellingShingle Engineering
Predictive model
Refrigeration system
Zhou, Qin Tian
Predictive prognostic modelling of refrigeration systems
title Predictive prognostic modelling of refrigeration systems
title_full Predictive prognostic modelling of refrigeration systems
title_fullStr Predictive prognostic modelling of refrigeration systems
title_full_unstemmed Predictive prognostic modelling of refrigeration systems
title_short Predictive prognostic modelling of refrigeration systems
title_sort predictive prognostic modelling of refrigeration systems
topic Engineering
Predictive model
Refrigeration system
url https://hdl.handle.net/10356/176508
work_keys_str_mv AT zhouqintian predictiveprognosticmodellingofrefrigerationsystems