{"id":"W4415037941","doi":"10.1016/j.ymssp.2025.113447","title":"A new health indicator for rotating machinery condition monitoring under variable operation conditions through regression among vibration features","year":2025,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Tsinghua University; National Natural Science Foundation of China","keywords":"Condition monitoring; Vibration; Control theory (sociology); SIGNAL (programming language); Variable (mathematics); Function (biology); Regression; Regression analysis","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":[0.0003800718,0.0002076188,0.0003120383,0.0001123423,0.0005125026,0.0003563147,0.0000869485,0.000180987,0.000008014946],"category_scores_gemma":[0.00003482153,0.0001840516,0.00003842203,0.0001950911,0.0000145568,0.0006014598,0.00002780904,0.0002375651,5.420666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241321,"about_ca_system_score_gemma":0.0001017704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002457079,"about_ca_topic_score_gemma":0.00001557487,"domain_scores_codex":[0.998788,0.00007483344,0.0004186044,0.0002945274,0.000172909,0.0002511264],"domain_scores_gemma":[0.9994808,0.0001386899,0.0001368941,0.0000980308,0.00005050197,0.00009505475],"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":[0.0001203053,0.000238837,0.004423175,0.01224683,0.0003447322,0.000005274271,0.002030669,0.1259263,0.3661366,0.2220743,0.03511314,0.2313398],"study_design_scores_gemma":[0.001137752,0.0001927357,0.002602049,0.006032079,0.0000755927,0.0000129832,0.0004500984,0.927175,0.03926788,0.02181862,0.0007009184,0.0005343201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01897395,0.002223942,0.9766901,0.0002840279,0.0002602196,0.000878107,0.00001994573,0.0004908381,0.000178876],"genre_scores_gemma":[0.9601371,0.00003879132,0.03888509,0.0001068256,0.0002628369,0.0003595494,0.0001075555,0.00003266321,0.00006956992],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9411632,"threshold_uncertainty_score":0.7505406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343117515334338,"score_gpt":0.3208641502046591,"score_spread":0.3074329750513157,"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."}}