Artificial intelligence has showed powerful capacity in detecting and diagnosing faults of
building energy systems. This paper aims at making a comprehensive literature review of …

This review aims to provide an up-to-date, comprehensive, and systematic summary of fault
detection and diagnosis (FDD) in building systems. The latter was performed through a …

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

Heating, ventilation, and air conditioning (HVAC) systems are used to condition the indoor
environment in buildings. They can be subjected to malfunctioning since they are the most …

The presence of sensing and actuating equipment faults in Heating, Ventilation and Air-
Conditioning (HVAC) systems may result in unsatisfactory indoor thermal conditions and …

The enormous energy use of the building sector and the requirements for indoor living
quality that aim to improve occupants ʼ productivity and health, prioritize Smart Buildings as …

In smart buildings, the models used for energy management and those used for
maintenance scheduling differ in scope and structure: while the models for energy …

This paper discusses the development and implementation of the architecture of a
Framework for Aerospace Vehicle Reasoning,FAVER'. Integrated Vehicle Health …

There is currently a rapid evolution of technologies enabling the “Internet-of-Things”
paradigm, which leads to the design of systems with augmented sensing, analysis, and …

The problem of distributed fault detection and isolation (FDI) for heating, ventilation, and air
conditioning (HVAC) systems has been addressed in this work. First, a linear model is …