{"id":"W1739018821","doi":"10.1109/cca.1996.559050","title":"A neural network application to fault diagnosis for robotic manipulator","year":2002,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Artificial neural network; Fault detection and isolation; Residual; Computer science; Set (abstract data type); Robot manipulator; Feedforward neural network; Control engineering; Artificial intelligence; Time delay neural network; Fault (geology); Feed forward; Probabilistic neural network; Control theory (sociology); Robot; Engineering; Control (management); Actuator; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002615015,0.000441866,0.0002747518,0.0003938188,0.0002542509,0.0002662572,0.0002982341,0.000747583,0.002061023],"category_scores_gemma":[0.00101494,0.0001449337,0.0002045449,0.0003715478,0.0003133923,0.000299328,0.0002850545,0.000466187,0.0003448188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003675774,"about_ca_system_score_gemma":0.0003568852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004665422,"about_ca_topic_score_gemma":0.004700154,"domain_scores_codex":[0.9998806,0.00002456515,0.000007052263,0.00002096995,0.00005337925,0.0000134902],"domain_scores_gemma":[0.9998106,0.00009976607,0.0000126065,0.00001241903,0.00005820225,0.00000646183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002267277,0.00006803968,0.001146679,0.0002100327,0.00006703966,0.0007198567,0.000111998,0.4143772,0.05617977,0.01380134,0.00277769,0.5103136],"study_design_scores_gemma":[0.00001630112,0.00008012278,0.0004918096,0.00001742943,0.00001506826,0.0001769248,0.00001141182,0.974814,0.01305171,0.005990644,0.005322197,0.00001228257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02944002,0.001684026,0.9602155,0.0006710186,0.0001668476,0.00005214062,0.00005052057,0.001679861,0.006040129],"genre_scores_gemma":[0.603637,0.001659763,0.3821591,0.0002066767,0.0001499401,0.000119414,0.00009841625,0.00008160511,0.0118881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004665422,"threshold_uncertainty_score":0.009276569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581347197435766,"score_gpt":0.2182098864441323,"score_spread":0.2023964144697747,"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."}}