{"id":"W2260356148","doi":"10.1007/978-1-4471-4993-4_55","title":"Gearbox Fault Diagnosis Using Two-Dimensional Wavelet Transform","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thresholding; Noise reduction; SIGNAL (programming language); Wavelet; Kurtosis; Vibration; Pattern recognition (psychology); Computer science; Wavelet transform; Artificial intelligence; Matrix (chemical analysis); Noise (video); Algorithm; Fault (geology); Mathematics; Acoustics; Materials science; Physics; Statistics; Image (mathematics); Geology","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":[0.00009245029,0.0006356873,0.0006017323,0.0002605726,0.00004509038,0.00004618234,0.0002139269,0.0006449951,0.0004029764],"category_scores_gemma":[0.0001054747,0.0006562274,0.0001589818,0.0001144593,0.00001512472,0.0001247074,0.00005083962,0.001255597,0.00002555159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776214,"about_ca_system_score_gemma":0.00002122622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000214289,"about_ca_topic_score_gemma":0.00002369347,"domain_scores_codex":[0.9982485,0.000004420022,0.0005115981,0.0004367108,0.0003068541,0.0004919199],"domain_scores_gemma":[0.9992315,0.0002533671,0.00005549576,0.0002678428,0.00005503581,0.0001367337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004488466,0.000005990754,2.577471e-7,0.0002343821,0.00004785057,0.00001940453,0.00003382605,0.9649034,0.0009143873,0.002753017,0.000004604123,0.03107837],"study_design_scores_gemma":[0.0003639827,0.00003071287,5.603066e-7,0.0006828842,0.00005331829,0.00002238394,3.369821e-7,0.9807164,0.00515112,0.01012373,0.002123952,0.0007306089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003722579,0.001961083,0.99306,0.00005282121,0.000749251,0.0004236042,0.00002579535,0.0005761942,0.002779006],"genre_scores_gemma":[0.5355693,0.00137008,0.4586357,0.0003785569,0.001397162,0.0002140954,0.0002736851,0.001268665,0.000892767],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.535197,"threshold_uncertainty_score":0.9995889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009814248638526675,"score_gpt":0.2198842915211154,"score_spread":0.2100700428825887,"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."}}