2017
DOI: 10.1016/j.engappai.2016.12.021
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Combining knowledge and historical data for system-level fault diagnosis of HVAC systems

Abstract: Interdependencies among system components and the existence of multiple operating modes present a challenge for fault diagnosis of Heating, Ventilation, and Air Conditioning (HVAC) systems. Reliable and timely diagnosis can only be ensured when it is performed in all operating modes, and at the system level, rather than at the level of the individual components. Nevertheless, almost no HVAC fault diagnosis methods that satisfy these requirements are described in literature. In this paper, we propose a multiple… Show more

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Cited by 65 publications
(23 citation statements)
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References 29 publications
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“…They develop Bayesian networks for multiple operating modes, using both actual and virtual sensors created from system knowledge and historical data. The authors show how using virtual sensors significantly improves FDD performance [13].…”
Section: B Virtual Sensorsmentioning
confidence: 98%
“…They develop Bayesian networks for multiple operating modes, using both actual and virtual sensors created from system knowledge and historical data. The authors show how using virtual sensors significantly improves FDD performance [13].…”
Section: B Virtual Sensorsmentioning
confidence: 98%
“…In [ 22 ] the authors report how using virtual sensors significantly improves FDD performance for HVAC systems. They propose a multi-model FDD method that exploits components interdependencies.…”
Section: State Of the Artmentioning
confidence: 99%
“…The reviewed state of the art shows that virtual sensors are popular in the field of buildings systems; however, to our knowledge there is no work so far on employing data-driven virtual sensors for fault detection and diagnostics application on ventilation units. Most of the work reviewed covers other buildings subsystems, such as chillers and air-conditioning units [ 20 , 23 , 24 ], boilers [ 22 ], heat pumps [ 20 ] and room-level components [ 25 ]. Moreover, in ventilation units, virtual sensors are usually developed to provide readings for unmeasured quantities [ 21 ], and when they are considered for explicit application for fault detection and diagnostics they are designed using first principles methods [ 20 ].…”
Section: State Of the Artmentioning
confidence: 99%
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“…In [114] there is developed a system level diagnostic approach applied on a HVAC system. The proposed method considers the system components interdependencies.…”
Section: System Level Diagnosticsmentioning
confidence: 99%