HIGHLIGHTS
- who: BIM and colleagues from the Nazarbayev University, Kazakhstan United Kingdom have published the paper: A review of the Digital Twin technology for fault detection in buildings, in the Journal: (JOURNAL)
- what: The following are the questions this study aims to address: This research explores the possibility of utilizing Digital Twin technology in the fault detection of service and monitoring systems, including:. Following this, the authors propose BIM and machine_learning as fundamental pillars of a Digital Twin-enabled framework for charting a course toward automated fault detection and prediction in buildings. As a result of . . .
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