{"id":"W2975044290","doi":"10.36001/phmconf.2019.v11i1.831","title":"Inter-Turn Short-Circuit Failure of PMSM Indicator based on Kalman Filtering in Operational Behavior","year":2019,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Kalman filter; Residual; Short circuit; Catastrophic failure; Rotor (electric); Fault (geology); Fault detection and isolation; Voltage; Computer science; SIGNAL (programming language); Avionics; Engineering; Electronic circuit; Automotive engineering; Control theory (sociology); Electrical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000184433,0.0001517108,0.0002269677,0.00004695681,0.00002011766,0.00001754832,0.0004580199,0.0001195121,0.000252665],"category_scores_gemma":[0.00002754807,0.0001253107,0.0001614388,0.0001213456,0.00006130269,0.0001407911,0.00008786347,0.0003132079,0.000005584975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000587369,"about_ca_system_score_gemma":0.00004875916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005383059,"about_ca_topic_score_gemma":0.00003895847,"domain_scores_codex":[0.9991287,0.00003284762,0.0002829299,0.0001629483,0.0002324344,0.0001601321],"domain_scores_gemma":[0.9994158,0.00006762175,0.00005361708,0.0003538747,0.00007680505,0.00003227471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000024331,0.0007839083,0.7136539,0.000747516,0.0001501475,0.000003734091,0.01601995,0.009306434,0.2331214,0.003048369,0.01571332,0.007426992],"study_design_scores_gemma":[0.00110177,0.0004161865,0.3829627,0.001218914,0.00007054878,0.000004678394,0.002107078,0.1109016,0.4984186,0.000345419,0.001593176,0.000859371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974094,0.000009808084,0.0007995492,0.0001796583,0.00009311731,0.0003711973,0.0001629646,0.00007226774,0.0009020504],"genre_scores_gemma":[0.9989893,0.000006219887,0.0007548251,0.0001045803,0.00001781701,0.00006371762,0.00001903851,0.00002031912,0.0000241919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3306912,"threshold_uncertainty_score":0.5110022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592187712342992,"score_gpt":0.2616680358171377,"score_spread":0.2457461586937078,"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."}}