{"id":"W4229010399","doi":"10.1016/j.ymssp.2022.109175","title":"Vibration feature extraction using signal processing techniques for structural health monitoring: A review","year":2022,"lang":"en","type":"review","venue":"Mechanical Systems and Signal Processing","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":372,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Structural health monitoring; Signal processing; SIGNAL (programming language); Frequency domain; Vibration; Computer science; Time domain; Feature extraction; Aerospace; Engineering; Field (mathematics); Pattern recognition (psychology); Artificial intelligence; Electronic engineering; Structural engineering; Acoustics; Digital signal processing; Computer vision","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001225311,0.0008790928,0.002450303,0.0002825621,0.001031906,0.0003914658,0.0003527969,0.0006029716,0.0000127065],"category_scores_gemma":[0.000029858,0.000757097,0.0003113806,0.0006115607,0.00003172349,0.0005769691,0.0001029567,0.001354717,3.416359e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351139,"about_ca_system_score_gemma":0.0004863424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004999092,"about_ca_topic_score_gemma":7.604774e-7,"domain_scores_codex":[0.9959157,0.0003032927,0.001556023,0.0008186212,0.0006272746,0.0007791457],"domain_scores_gemma":[0.9981381,0.00018332,0.001007032,0.0002471192,0.0001372287,0.0002871449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005208733,0.000003963114,1.936873e-7,0.2292121,0.00002257892,0.000003033025,0.00002463702,0.00001713531,0.00004267377,0.00001757802,0.0001211656,0.7705297],"study_design_scores_gemma":[0.0001296855,0.0002733257,6.609619e-7,0.1969253,0.0004780173,0.0007301132,0.00006695657,0.05065707,0.0001001568,0.0001911604,0.7493104,0.00113714],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000006572834,0.9335893,0.06084685,0.00002435787,0.0006027761,0.003805245,0.00004957452,0.001063347,0.00001198148],"genre_scores_gemma":[0.001565552,0.9762585,0.01847624,0.00002912433,0.001915817,0.001387629,0.00009488135,0.0002555376,0.00001667804],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7693925,"threshold_uncertainty_score":0.999488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09484329088540315,"score_gpt":0.3939942788205008,"score_spread":0.2991509879350976,"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."}}