{"id":"W4320003664","doi":"10.18280/jesa.550614","title":"Real Time Assessment of Novel Predictive Maintenance System based on Artificial Intelligence for Rotating Machines","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National pour la Recherche Scientifique et Technique","keywords":"Downtime; Predictive maintenance; Reliability (semiconductor); Process (computing); Artificial neural network; Reliability engineering; Computer science; Acceleration; Test bench; Engineering; Real-time computing; Artificial intelligence; Embedded system; Power (physics)","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":[0.000348336,0.0004787404,0.000402998,0.0004801475,0.0001875344,0.000448861,0.0005604436,0.0004807679,0.00102162],"category_scores_gemma":[0.0007161198,0.0001354127,0.0002092529,0.0002080727,0.0001624618,0.0004439481,0.0002194893,0.0002708317,0.0001788642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349539,"about_ca_system_score_gemma":0.0002150331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196063,"about_ca_topic_score_gemma":0.001227275,"domain_scores_codex":[0.9998104,0.00003106995,0.00001088065,0.00004627025,0.00008334716,0.00001809403],"domain_scores_gemma":[0.9997012,0.00008742386,0.00004591593,0.00003819211,0.0001073003,0.0000199595],"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":[0.002065645,0.0008712466,0.03623417,0.0006011922,0.0002734298,0.0009692003,0.0003212855,0.2715224,0.2515621,0.001762857,0.00375539,0.4300611],"study_design_scores_gemma":[0.00002674873,0.0007656086,0.01514728,0.00001093031,0.00004906566,0.0001468827,0.00002809816,0.9604447,0.02238285,0.0003380126,0.000641606,0.00001815237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8108858,0.0004819383,0.1813369,0.0001740921,0.0001448834,0.0001452201,0.0001803945,0.002672912,0.003977831],"genre_scores_gemma":[0.9933519,0.00004315048,0.006064072,0.00001104973,0.000005984351,0.00002058109,0.00004526378,0.000008535078,0.0004493165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001196063,"threshold_uncertainty_score":0.003417671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146367401805743,"score_gpt":0.2563380830911107,"score_spread":0.2417013429105364,"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."}}