With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …

Abnormal operation of HVAC systems can result in an increase in energy usage as well as
poor indoor air quality, thermal discomfort, and low productivity. Building automated systems …

Condition monitoring plays a vital role in ensuring the reliability and optimal performance of
various engineering systems. Traditional methods for condition monitoring rely on physics …

Growing demand for energy efficient buildings requires robust models to ensure efficient
performance over the evolving life cycle of the building. Energy management systems can …

Abstract The Digital Twin (DT) is one of the most promising technologies in the digital
transformation market. A digital twin is a virtual copy of a physical system that emulates its …

Operators' work order descriptions in computerized maintenance management systems
(CMMS) represent an untapped opportunity to benchmark a facility's maintenance and …

Sensors are the key information source for fault detection and diagnostics (FDD) in
buildings. However, sensors are often not properly designed, installed, calibrated, located …

This paper presents a synthetic building operation dataset which includes HVAC, lighting,
miscellaneous electric loads (MELs) system operating conditions, occupant counts …

Heating, ventilation, and air conditioning (HVAC) systems installed in a passenger train
carriage are critical systems, whose failures can affect people or the environment. This …

With the increased availability of condition monitoring data and the increased complexity of
explicit system physics-based models, the application of data-driven approaches for fault …