2008
DOI: 10.1016/j.enconman.2008.01.029
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Sequential rule based algorithms for temperature sensor fault detection in air handling units

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Cited by 46 publications
(19 citation statements)
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“…The rule-based methods are advantageous in that only a few sensors are adopted in each rule. However, the rulebased methods are not good for application in sensor fault diagnosis [24]. The challenges of sensor fault diagnosis for AHUs are mostly from the lack of information.…”
Section: Introductionmentioning
confidence: 99%
“…The rule-based methods are advantageous in that only a few sensors are adopted in each rule. However, the rulebased methods are not good for application in sensor fault diagnosis [24]. The challenges of sensor fault diagnosis for AHUs are mostly from the lack of information.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, this fault type may also be increasing in importance with the recent movement from mechanical control systems to integrated software-dominated control systems. [17] Incorrect SAT set-point and wrong AHU mode activated Building [18] Offsets in return, outdoor, mixed and supply air temperature (SAT) sensors Building [7] Condenser fouling Building [19] Condenser and evaporator fouling Building [20,21] Heat exchanger fouling Building [22] Condenser and evaporator fouling, and capacity, energy efficiency ratio (EER), sensible heat ratio (SHR) and seasonal energy efficiency ratio (SEER) degradation Building [23] Any soft faults in a cooling coil subsystem Building [24] Any soft faults in a mechanical draft-counter flow CT Building [13] AHU economizer Building [25] AHU and heating system degradation Building [26,27] Whole building components, e.g. AHUs and meters Building [28] Chiller plant, boiler plant and AHU Building…”
Section: Soft Faultsmentioning
confidence: 99%
“…The qualitative model-based techniques utilize either a rule-based system or qualitative physics [37,39]. Rule-based systems use a set of if-then statements that consider the equipment control limits [17]. A sequential rule set for the utilization in an FDD tool was developed by Yang, Cho, Tae and Zaheeruddin (2008) [17].…”
Section: Qualitative Model-based Fddmentioning
confidence: 99%
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