{"id":"W4383702808","doi":"10.1016/j.ymssp.2023.110571","title":"Use of vibration signal to estimate instantaneous angular frequency under strong nonstationary regimes","year":2023,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Alberta","funders":"Key Research and Development Program of Sichuan Province; National Natural Science Foundation of China","keywords":"Robustness (evolution); Vibration; Acceleration; Benchmark (surveying); Instantaneous phase; Angular velocity; Computer science; Time–frequency analysis; Signal processing; Control theory (sociology); SIGNAL (programming language); Engineering; Acoustics; Artificial intelligence; Radar; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002426505,0.0001710436,0.0002637869,0.0001650511,0.00009612538,0.0001335379,0.00009055727,0.0001060474,0.00001421815],"category_scores_gemma":[0.00002909336,0.0001602791,0.00003300136,0.0003736922,0.00001916979,0.0003350411,0.00004008754,0.0001226809,0.000005271484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004907076,"about_ca_system_score_gemma":0.00002822687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007813155,"about_ca_topic_score_gemma":0.00001160068,"domain_scores_codex":[0.99881,0.00004649964,0.0004075904,0.0002264001,0.0002767719,0.000232718],"domain_scores_gemma":[0.999509,0.0001311735,0.00006842574,0.0001037004,0.0000793345,0.0001083872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004054891,0.00008326529,0.0008508769,0.002249531,0.00009607538,0.0001255254,0.000507884,0.3421372,0.5753304,0.03263487,0.001233477,0.04471023],"study_design_scores_gemma":[0.0001273449,0.0001516503,0.0004456884,0.0007482902,0.00002493586,0.0000284775,0.0001220426,0.9818912,0.01384575,0.002145854,0.0001774143,0.0002914074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4007391,0.000476748,0.5970082,0.00007487564,0.00007537289,0.0004821066,0.0000352281,0.0008807885,0.0002275799],"genre_scores_gemma":[0.9925951,0.00001643919,0.007164584,0.00002332868,0.00005033224,0.00006266004,0.00002761552,0.00003940464,0.00002053753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6397539,"threshold_uncertainty_score":0.6535993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269497665690352,"score_gpt":0.2938501672471873,"score_spread":0.2669004006781521,"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."}}