{"id":"W4405866055","doi":"10.1016/j.aei.2024.103083","title":"A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning","year":2024,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mechanism (biology); Artificial intelligence; Computer science; Deep learning; Machine learning","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":[0.0003067998,0.0002619746,0.0002044485,0.0003367632,0.0001149567,0.0001515292,0.00007896798,0.0001194859,0.000009031455],"category_scores_gemma":[0.000267277,0.0002842926,0.00005648516,0.0002722097,0.000009446589,0.000670779,0.00003026318,0.0005190052,0.000008226481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342834,"about_ca_system_score_gemma":0.00001224625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001924651,"about_ca_topic_score_gemma":0.000001423857,"domain_scores_codex":[0.9989105,0.00001214654,0.0004634647,0.0001404492,0.0001972996,0.0002761438],"domain_scores_gemma":[0.9992265,0.000419588,0.00003864478,0.0001682676,0.00003653278,0.0001105024],"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":[0.000001026053,0.000007651633,0.00006838713,0.0004387749,0.00003449506,0.000001146958,0.0003843431,0.9738476,0.01962841,0.003138742,0.00001199211,0.002437414],"study_design_scores_gemma":[0.0003320386,0.00006764401,0.00100233,0.0006291803,0.0000295505,0.00001495862,0.0001824649,0.9932512,0.003286493,0.00008940094,0.0008457435,0.0002689887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04771518,0.0000869754,0.9481426,0.00002297513,0.0003182051,0.0002712378,0.00002780064,0.003110459,0.000304545],"genre_scores_gemma":[0.6485868,0.00004865802,0.3510041,0.00005778325,0.00004135291,0.0001172131,0.00007857822,0.00006044731,0.000005116749],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6008716,"threshold_uncertainty_score":0.9999609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796665457105392,"score_gpt":0.2612270440853942,"score_spread":0.2532603895143402,"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."}}