Digital twin-enhanced predictive maintenance for indoor climate: a parallel LSTM-autoencoder failure prediction approach

Digital twin-enhanced predictive maintenance for indoor climate: a parallel LSTM-autoencoder failure prediction approach

Recently, the emergency of predictive maintenance (PdM) in the building industry has expanded from facilities to indoor climates, as air quality is highly relevant to residential health, comfort, and work efficiency. Besides, digital twin (DT) is considered as an effective solution for PdM deploymen...

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Bibliographic Details
Main Authors: Hu, Wei, Wang, Xin, Tan, Khery, Cai, Yiyu
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Engineering::Mechanical engineering
Predictive Maintenance
Indoor Climate
Online Access:https://hdl.handle.net/10356/173301
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/173301

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