2013
DOI: 10.1007/s12053-013-9238-2
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Review of automated fault detection and diagnostic tools in air handling units

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Cited by 69 publications
(33 citation statements)
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“…Many of these adversely affected the results (of both the baseline and intervention control strategies) until the faults were identified and resolved prior to the start of the study period. For future projects, we recommend using automated fault detection methods for AHUs and VAV terminal units [29][30][31][32][33], to identify and resolve these issues prior to implementing either supply air temperature reset strategy.…”
Section: Practical Implementation Notesmentioning
confidence: 99%
“…Many of these adversely affected the results (of both the baseline and intervention control strategies) until the faults were identified and resolved prior to the start of the study period. For future projects, we recommend using automated fault detection methods for AHUs and VAV terminal units [29][30][31][32][33], to identify and resolve these issues prior to implementing either supply air temperature reset strategy.…”
Section: Practical Implementation Notesmentioning
confidence: 99%
“…Bruton et al detailed the main methods and subcategories of FDD while also outlining the advantages and disadvantages of each along with their potential for market implementation in the short to medium term (Bruton et al 2013). Based on their research, Bruton et al arrived at the conclusion that if it were possible to combine the most applicable FDD methods into a single method that took key operational parameters into account, one would ensure that the least possible quantity of data was required for effective AFDD.…”
Section: How Can Afdd Tools Improve Ahu Maintenance and Hence Performmentioning
confidence: 99%
“…As no AHU-specific AFDD tool has still to proliferate through the building services sector due a number of issues ranging from excessive setup times to their failure to cross the proprietary system divided with a generic cross platform solution (Bruton et al 2013), Bruton et al developed a new rule-based expert system AFDD tool for AHUs named AHU Intelligent Fault Optimisation or "AHU InFO" (Bruton et al 2014). The development and overlying architecture of the AHU InFO tool is detailed in section AHU InFO Development of this paper, before its effectiveness at detecting and diagnosing AHU faults is compared to that of APARs in the section Comparison Study using both derived static faults and logged field test data across a number of different AHUs on various pilot industrial manufacturing sites.…”
Section: How Can Afdd Tools Improve Ahu Maintenance and Hence Performmentioning
confidence: 99%
“…In 2011, the International Organization for Standardization (ISO) produce the publication ISO 50001:2011 BEnergy management systems: Requirements with guidance for use^ (Fiedler and Mircea 2012). Generally, standards for energy management can potentially support energy management in production processes and the creation of mechanisms to measure, control and continuously improve energy efficiency (Bruton et al 2014;Bunse et al 2011). Böttcher and Müller (2014) stated that ISO 50001 has a narrow focus on energy and carbon efficiency.…”
Section: Introductionmentioning
confidence: 99%