{"id":"W4240958363","doi":"10.22215/etd/2017-12135","title":"A Quantitative Model-Based Fault Detection &amp; Diagnostics (FDD) System for Zone-Level Inefficiencies","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"HVAC; Metering mode; Fault detection and isolation; Redundancy (engineering); Reliability engineering; MATLAB; Energy consumption; Air conditioning; Efficient energy use; Engineering; Real-time computing; Automotive engineering; Computer science; Electrical engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006527982,0.0008013581,0.0005854141,0.0007262272,0.0003286482,0.0009328462,0.0006774518,0.0004632529,0.002268396],"category_scores_gemma":[0.002078078,0.0002857399,0.0005856912,0.000283085,0.0003561968,0.0006866555,0.0007205723,0.0005802952,0.0004190673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006488705,"about_ca_system_score_gemma":0.0008258928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004233,"about_ca_topic_score_gemma":0.001485903,"domain_scores_codex":[0.999652,0.00007219874,0.00002307507,0.00007711462,0.0001533708,0.00002216504],"domain_scores_gemma":[0.999135,0.0003541124,0.0001315391,0.0001246535,0.0002323102,0.00002250467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002273979,0.0001763985,0.004330166,0.0003639271,0.0000667269,0.0001774724,0.0002272492,0.7452023,0.06053972,0.01093063,0.002118791,0.1756392],"study_design_scores_gemma":[0.00001192753,0.00007523446,0.0005337754,0.00001137666,0.000015084,0.00005750762,0.00001394405,0.9878263,0.008396798,0.001402172,0.001644024,0.00001195611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01486979,0.00005709477,0.980239,0.00007654184,0.000025679,0.00007500343,0.0001363034,0.003020961,0.001499655],"genre_scores_gemma":[0.7556594,0.00009942753,0.2416402,0.00006030855,0.00001608494,0.0001907301,0.0002641473,0.0001348127,0.001934931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002268396,"threshold_uncertainty_score":0.007588565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044427679761254,"score_gpt":0.2750099471940849,"score_spread":0.2345656703964724,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}