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Fault Detection and Diagnosis

Fault Detection and Diagnosis (FDD) aims to recognize and diagnose faults quickly, systematically and – as far as possible- automatically before additional damage to the system occurs or before the system fails. This is achieved by a combination of continuous monitoring and data analysation.

Building faults are conditions or events in building operation that hinder achieving both a comfortable indoor climate and an efficient energy supply at the same time. Faults are thus defined as an unintentional worsening in the scheduled operation.

The cause of faults can lie in insufficient planning or implementation, false operation or poor maintenance. Typical mistakes in building operation are, for example, running pumps and fans during the entire day and on the weekend, even when they are not required. Mathematical models of the building and systems play an important role in FDD. Usually this is a two step procedure: First, the occurrence of the faults is detected and afterwards the fault is diagnosed. Data such as where the fault occurred and for what reason etc. are collected.