{"id":"W1986514256","doi":"10.1109/csie.2009.211","title":"A New Method of Multi-sensor Vibration Signals Data Fusion Based on Correlation Function","year":2009,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Science Foundation","keywords":"Measure (data warehouse); Computer science; SIGNAL (programming language); Rotor (electric); Sensor fusion; Process (computing); Fault (geology); Basis (linear algebra); Vibration; Adaptability; Function (biology); Correlation function (quantum field theory); Correlation; Artificial intelligence; Pattern recognition (psychology); Engineering; Data mining; Mathematics; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001950002,0.001151904,0.001419471,0.002803821,0.0006187636,0.001251988,0.00144457,0.001029838,0.001473198],"category_scores_gemma":[0.002837754,0.0005901525,0.001244473,0.002746484,0.0006441824,0.003118696,0.001312586,0.001352052,0.0007856862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647124,"about_ca_system_score_gemma":0.001026855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412536,"about_ca_topic_score_gemma":0.0009796838,"domain_scores_codex":[0.99692,0.0004705078,0.0001988633,0.0006803708,0.001592454,0.0001378374],"domain_scores_gemma":[0.9985405,0.0003332498,0.000136935,0.0002145488,0.0007255607,0.00004933003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003159284,0.0001390079,0.001569903,0.0005930578,0.0003684791,0.0002383555,0.0002908303,0.04374223,0.09153558,0.02262864,0.004900435,0.8336776],"study_design_scores_gemma":[0.00006087553,0.0002405321,0.001903569,0.00004405548,0.0001581871,0.0006570294,0.00005868535,0.9048095,0.06818361,0.007123596,0.01661905,0.0001413275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001992215,0.0002703888,0.9967346,0.0000476832,0.00008398901,0.00002996215,0.0000251682,0.0004190426,0.0003968993],"genre_scores_gemma":[0.1308738,0.0008890053,0.8645873,0.0001659087,0.0002860233,0.0002095093,0.0002946513,0.0002261459,0.002467637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002803821,"threshold_uncertainty_score":0.01031268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958974872064337,"score_gpt":0.279601836969218,"score_spread":0.2500120882485747,"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."}}