{"id":"W2074668057","doi":"10.1115/detc2010-29126","title":"EMD, Ranking Mutual Information and PCA Based Condition Monitoring","year":2010,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Mutual information; Condition monitoring; Ranking (information retrieval); Monotonic function; Impeller; Data mining; Computer science; Artificial intelligence; Fault (geology); Pattern recognition (psychology); Feature (linguistics); Fault detection and isolation; Information fusion; Feature extraction; Machine learning; Engineering; Mathematics","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":[0.001327237,0.0009542347,0.0009406691,0.002022047,0.000335214,0.001196234,0.0007533646,0.0006079157,0.001586495],"category_scores_gemma":[0.004719037,0.0003427819,0.000622245,0.002019432,0.000833755,0.001754112,0.001137672,0.0007531744,0.0005326741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643169,"about_ca_system_score_gemma":0.0005821416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933241,"about_ca_topic_score_gemma":0.001415439,"domain_scores_codex":[0.9980108,0.0006177733,0.00009935454,0.0003299986,0.0008380059,0.0001041188],"domain_scores_gemma":[0.9986134,0.0006991371,0.0002271432,0.0001665369,0.0002490767,0.00004482357],"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":[0.0003961362,0.0001511675,0.002986474,0.0003046744,0.0001756906,0.0001737718,0.0001071959,0.198677,0.01473946,0.02501814,0.00428221,0.752988],"study_design_scores_gemma":[0.00001033948,0.00008533217,0.002815018,0.00001136159,0.00002525028,0.0001866984,0.00001922534,0.9765561,0.00887373,0.008612415,0.002746392,0.0000581297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01322048,0.0009030355,0.9822657,0.0001888912,0.00005471836,0.00005982851,0.0002187835,0.0008946321,0.002193987],"genre_scores_gemma":[0.5284841,0.001262976,0.4645299,0.0001465887,0.0001800683,0.0002197213,0.0008311128,0.0001308612,0.004214644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002022047,"threshold_uncertainty_score":0.007019162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002361691469539282,"score_gpt":0.1825384536042161,"score_spread":0.1801767621346768,"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."}}