{"id":"W4411573230","doi":"10.1007/978-3-031-95489-4_13","title":"Correlation-Based Misalignment Diagnosis in Rotating Machines Using Order Tracking and Signal Segmentation","year":2025,"lang":"en","type":"book-chapter","venue":"Mechanisms and machine science","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Correlation; SIGNAL (programming language); Artificial intelligence; Tracking (education); Segmentation; Computer vision; Computer science; Pattern recognition (psychology); Mathematics; Psychology; Geometry","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":[0.0003550147,0.0002235221,0.0001981359,0.0003381339,0.0001712797,0.0001405551,0.00008839733,0.00008455339,0.0001262486],"category_scores_gemma":[0.00002812914,0.0002273927,0.00002108771,0.0001357811,0.00007637758,0.0001367201,0.00004754651,0.0001924459,5.797343e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007018437,"about_ca_system_score_gemma":0.00005719505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145799,"about_ca_topic_score_gemma":0.0001128969,"domain_scores_codex":[0.9989494,0.000008240964,0.0002780296,0.0003247562,0.0002593359,0.0001802557],"domain_scores_gemma":[0.9996144,0.00009848019,0.00007920573,0.00009092916,0.00005276873,0.00006425463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008336876,0.00002006919,0.001437773,0.0005244765,0.00001861464,0.00001231977,0.0006941881,0.4305344,0.007456513,0.112013,0.00001112794,0.4472692],"study_design_scores_gemma":[0.0002554558,0.00003188531,0.000310657,0.0002839702,0.00002700178,0.000002759366,0.00002107752,0.9921218,0.0002059504,0.006427808,0.0000816082,0.000230072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01305084,0.001072043,0.9699659,0.000113654,0.0005084654,0.0007736973,0.0000604944,0.0001240551,0.01433081],"genre_scores_gemma":[0.5926662,0.0005679543,0.3957973,0.0004750146,0.00007962808,0.00009992043,0.00009813374,0.0001292776,0.01008664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5796154,"threshold_uncertainty_score":0.9272805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252792974399957,"score_gpt":0.2285422464632633,"score_spread":0.2160143167192637,"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."}}