Development of methodologies for evaluating performance of fault detection and diagnostics protocols applied to unitary air-conditioning equipment

Yuill, David, P. Ph.D., Purdue University, December 2014. Development of Methodologies for Evaluating Performance of Fault Detection and Diagnostics Protocols Applied to Unitary Air-Conditioning Equipment. Major Professor: James E. Braun, Ph.D., School of Mechanical Engineering. This thesis describes the development of standardized methodologies and methods for evaluating the performance of fault detection and diagnostics (FDD) protocols that are intended for air-cooled vapor compression unitary air-conditioners. Although there are currently many FDD protocols available commercially and there are jurisdictions in which the building codes require FDD, there is currently no standardized method to determine how effective the FDD might be at detecting and diagnosing faults. An FDD evaluation method is proposed, in which the evaluator passes data from a large number of scenarios to a candidate FDD protocol, and collects the response from each scenario. The possible results for each scenario are: (a) No Response; (b) Correct; (c) False Alarm; (d) Misdiagnosis; (e) Missed Detection; (f) No Diagnosis. The set of all responses is organized by considering the impact of the fault on the system’s cooling capacity and efficiency for each scenario. This is referred to as fault-impact-based evaluation.

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