Fault detection and diagnosis

Failures can lead to a series of problems in the complex heating, ventilation and air-conditioning (HVAC) systems in buildings. Fault detection and diagnosis (FDD) is an important technology to solve these problems. Models can represent the behaviors of the HVAC systems, and FDD can be realized with models. Using the model as intermediary, a link between system simulation and FDD can be built. Simulation has provided a convenient platform of operation for FDD, the overall simulation methodology in FDD of HVAC systems is briefly introduced.

Heating, Ventilation and Air Conditioning (HVAC) systems, often do not achieve the same level as itachieved at commissioning. An appropriate system analysis for Fault Detection and Diagnosis (FDD)can save material and energy significantly. FDD technology optimizes the use of the components ofthe system, so that they only be replaced or corrected when they are no longer useful. This paperpresents a complete methodology of introducing warning signal component in building managementsystem, which gets automatically activated as and when faults occur.