{"id":"W4385490776","doi":"10.1016/j.compchemeng.2023.108380","title":"Comparison of signal processing methods considering their optimal parameters using synthetic signals in a heat exchanger network simulation","year":2023,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mean squared error; Kalman filter; Filter (signal processing); Algorithm; Wavelet transform; Signal processing; Parametric statistics; Computer science; Heat exchanger; Wavelet; Mathematics; Artificial intelligence; Engineering; Statistics; Digital signal processing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003558188,0.0002712501,0.0005910104,0.0002565291,0.00003285652,0.00004781507,0.000143696,0.0001454829,0.000005081909],"category_scores_gemma":[0.00003059554,0.0002941907,0.0001177314,0.0007722586,0.0000280707,0.0001213029,0.00005862994,0.0002764752,0.000002952292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323754,"about_ca_system_score_gemma":0.00001210645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008398712,"about_ca_topic_score_gemma":3.128262e-7,"domain_scores_codex":[0.99846,0.00004786615,0.0005980037,0.0002562774,0.000160525,0.0004773237],"domain_scores_gemma":[0.9990929,0.000574327,0.00005173272,0.000150959,0.00003067864,0.00009941683],"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":[0.000008415581,0.000007717988,0.0000379055,0.000212763,0.00002810696,0.000002837363,0.00038932,0.6963489,0.2906793,0.000001048538,0.000004858391,0.01227881],"study_design_scores_gemma":[0.0002870737,0.00001717744,0.00001139989,0.0006929546,0.00001481262,0.000006789113,0.00009843012,0.9130093,0.08552791,0.000007563776,0.00006936328,0.0002571524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4728228,0.0005742838,0.5258535,0.000004120496,0.0002362452,0.0001417719,8.388771e-7,0.0003577512,0.000008696315],"genre_scores_gemma":[0.9541372,0.000003043598,0.04564639,0.000006971114,0.0001191328,0.00002256705,0.000003228736,0.00006055798,8.834328e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4813144,"threshold_uncertainty_score":0.999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505607898657196,"score_gpt":0.3132737233155964,"score_spread":0.2682176443290245,"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."}}