{"id":"W4205524558","doi":"10.18280/ts.380626","title":"Sound Visualization and Convolutional Neural Network in Fault Diagnosis of Electric Motorbike","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Spectrogram; Computer science; Convolutional neural network; Fault (geology); Visualization; Graph; Time domain; Frequency domain; Speech recognition; Artificial intelligence; Real-time computing; Computer vision; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002582636,0.0005127386,0.0002305955,0.0006991446,0.0001504401,0.0003507407,0.0003486872,0.0005633775,0.0007761199],"category_scores_gemma":[0.0008471919,0.0001814222,0.000338039,0.000338987,0.0002012942,0.0006478751,0.000207551,0.000382836,0.0001327911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005205364,"about_ca_system_score_gemma":0.0003556689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187751,"about_ca_topic_score_gemma":0.009783978,"domain_scores_codex":[0.999876,0.00001648605,0.000007923436,0.00003911827,0.00003435595,0.0000261904],"domain_scores_gemma":[0.9998109,0.00006325096,0.00002083521,0.00001638909,0.00007772422,0.00001091799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003577777,0.0001056946,0.008052448,0.0001502629,0.00009042186,0.0004099105,0.0001525283,0.3022298,0.06764365,0.003236654,0.00181924,0.6157516],"study_design_scores_gemma":[0.000004140934,0.00005239123,0.002100225,0.000007695737,0.00002482935,0.00007095162,0.00001959146,0.984629,0.01167011,0.0007775537,0.000636085,0.000007424855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2617841,0.002250854,0.7279989,0.0006260871,0.0001991893,0.00004898827,0.0001622237,0.002666091,0.004263558],"genre_scores_gemma":[0.9435918,0.0005998111,0.05281074,0.00006663462,0.00002609335,0.00001232841,0.0001164783,0.00002738435,0.002748729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187751,"threshold_uncertainty_score":0.02361673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050430504138589,"score_gpt":0.2583684898276574,"score_spread":0.2478641847862715,"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."}}