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

• المؤلفون الرئيسيون: Hu, Wei, Wang, Xin, Tan, Khery, Cai, Yiyu
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering::Mechanical engineering; Predictive Maintenance; Indoor Climate
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173301

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...