{"id":"W2113310839","doi":"10.1177/1475921713475469","title":"Fault diagnosis in gearbox using adaptive wavelet filtering and shock response spectrum features extraction","year":2013,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Kurtosis; Morlet wavelet; Wavelet; Noise (video); Computer science; Adaptive filter; Fault detection and isolation; SIGNAL (programming language); Fault (geology); Pattern recognition (psychology); Wavelet transform; Artificial intelligence; Algorithm; Discrete wavelet transform; Mathematics; Statistics","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":[0.0002904869,0.0004001613,0.0004185477,0.0006890076,0.000136547,0.0003193531,0.0003138668,0.000499711,0.0005377],"category_scores_gemma":[0.0007068511,0.0001567404,0.0003675974,0.0004639814,0.0001822696,0.0004472393,0.0002684608,0.0002226636,0.0001591946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565147,"about_ca_system_score_gemma":0.0002048748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006209757,"about_ca_topic_score_gemma":0.0006453512,"domain_scores_codex":[0.9998534,0.00002041186,0.00001125578,0.00002671344,0.00007585069,0.00001245628],"domain_scores_gemma":[0.9997692,0.0001031112,0.00003781271,0.00002481006,0.0000556667,0.00000953058],"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":[0.0002755991,0.00009864761,0.003915012,0.0001835882,0.00005975536,0.0003285617,0.0001127138,0.05972547,0.3831405,0.001827321,0.0006007778,0.5497321],"study_design_scores_gemma":[0.00002073186,0.0001760466,0.007205338,0.00001651224,0.00003824134,0.0003303126,0.00004030194,0.8830688,0.1070801,0.0009619737,0.001037444,0.00002423222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08906769,0.000187815,0.9097869,0.00004291868,0.00002025441,0.00002644284,0.00002903912,0.0004376298,0.0004013067],"genre_scores_gemma":[0.6864718,0.0002247988,0.3123786,0.00002527576,0.00002103549,0.0000411531,0.0000856457,0.00003297398,0.00071878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006890076,"threshold_uncertainty_score":0.001798749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068472306418433,"score_gpt":0.3313734982771961,"score_spread":0.3106887752130118,"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."}}