{"id":"W4388974540","doi":"10.1177/10775463231214308","title":"Updating singular value decomposition for modal analysis of slow-varying non-stationary vibration structures","year":2023,"lang":"en","type":"article","venue":"Journal of Vibration and Control","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Singular value decomposition; Modal; Vibration; Autoregressive model; Singular value; Dynamic mode decomposition; Control theory (sociology); Operational Modal Analysis; Modal analysis; Autoregressive–moving-average model; Matrix (chemical analysis); Sliding window protocol; Singular spectrum analysis; Computer science; Algorithm; Mathematics; Window (computing); Acoustics; Physics; Eigenvalues and eigenvectors; Artificial intelligence; Statistics","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":[0.000518799,0.0005865108,0.0005508001,0.0006239533,0.0002500687,0.000414497,0.0005544424,0.0003850326,0.001216817],"category_scores_gemma":[0.001484717,0.0003003786,0.0006502561,0.0005046208,0.0003194045,0.0007044402,0.0003722947,0.0007834459,0.0004193422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959213,"about_ca_system_score_gemma":0.0003935368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716851,"about_ca_topic_score_gemma":0.002193832,"domain_scores_codex":[0.9996661,0.00007452779,0.00001834856,0.00007309709,0.0001467669,0.00002117798],"domain_scores_gemma":[0.9996297,0.0001619155,0.00005297886,0.00005172096,0.00008818646,0.00001544045],"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":[0.0001376288,0.0001122661,0.001223278,0.0002467381,0.0001107008,0.0001339964,0.000228266,0.2432199,0.09944733,0.02395866,0.001633765,0.6295475],"study_design_scores_gemma":[0.000003518269,0.00002950106,0.0003269566,0.000005095181,0.000008769235,0.00002575353,0.00001043659,0.9918069,0.004088196,0.002486114,0.001198642,0.00001003675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002962571,0.00005944474,0.996693,0.000009892822,0.00001045425,0.000006449764,0.000009579074,0.0001029698,0.0001456849],"genre_scores_gemma":[0.1729538,0.0003617131,0.8245321,0.0000284692,0.00005863089,0.00007857046,0.0001715751,0.0001545232,0.001660545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001716851,"threshold_uncertainty_score":0.004070699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027276435434102,"score_gpt":0.2983937495803338,"score_spread":0.2881209852259928,"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."}}