Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Fault detection and diagnostics"”.
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Fault detection and diagnostics of an HVAC sub-system using adaptive resonance theory neural networks
… can be attributed to degrading HVAC sub-systems, and undetected abnormal conditions. Recognition and remediation of these conditions through advanced data analytics can reduce energy consumption by 5% to 20%. This could save about $9 billion in utility costs in the U.S. alone. Modern buildings are …
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Development of methodologies for evaluating performance of fault detection and diagnostics protocols applied to unitary air-conditioning equipment
<p>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 …
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Whose fault is it anyway? evaluating the energy efficiency gap in commercial buildings & measuring energy savings associated with fault detection and diagnostics
… as well as the significant federal, state, and local budgets for energy efficiency, there is a clear need for further research in this domain to evaluate the energy efficiency gap and prioritize methods for reducing the gap. Further, there is significantly less research on the gap as it …
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An Enhanced Signal Processing Toolbox for Electrical Energy Monitoring
… of literature exists for load identification and energy disaggregation under ideal, healthy conditions. However, a significant value proposition of nonintrusive load monitoring comes from fault detection and diagnostics. Early detection of electromechanical faults aids safety, reduces energy …
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A load identification and diagnostic framework for aggregate power monitoring
… as measurements of power, torque, vibration, and acoustic signals. These measurements can act as unique identifiers for the early identification of degrading system performance, providing a rich feature space for fault detection and diagnostics (FDD). However, mainstream machine learning …
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Extracting Electromechanical Signals for Icebreaker Insights
… benefits for equipment operation logging, fault detection and diagnostics, condition-based maintenance, and energy scorekeeping. A nonintrusive load monitor (NILM) can measure the aggregate electrical power at a central utility point and extract individual loads from this power stream. …
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Fault Detection And Diagnosis For Air Conditioners And Heat Pumps Based On Virtual Sensors
… primary goal of this research is to develop and demonstrate an integrated, on-line performance monitoring and diagnostic system with low cost sensors for air conditioning and heat pump equipment. Automated fault detection and diagnostics (FDD) has the potential for improving energy efficiency …
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Development and implementation of a framework to aid the transition to proactive maintenance approaches on air handling units in the industrial setting
… efficiency by 20% by addressing energy-wasting faults according to Roth et al. However, these faults are difficult to detect due to their compensating control logic. This research highlights the potential of digitalisation techniques, particularly AI, to identify and rectify these faults, which …
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Entwicklung und Validierung einer Simulationsbasis zum Test von Reglern raumlufttechnischer Anlagen
… und -validierung ein sehr wichtiger Bestandteil eines Softwareentwicklungsprozesses, um die Zuverlässigkeit zu sichern. Am Institut für Thermodynamik und Technische Gebäudeausrüstung liegen zahlreiche Simulationsmodelle vor. Im Rahmen dieser vorliegenden Arbeit wurden weitere benötigte …