<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "IAM: An Intuitive ANFIS-based method for stiction detection"^^ . "Stiction in control valves is an industry-wide problem which results in degradation of control performance. A new approach to detect the presence of stiction by utilising only the PV-OP data from control loops is proposed using an Adaptive Neuro-fuzzy Inferencing System (ANFIS). Intuitively, the error between the output of an FIS model developed with stiction and a process with stiction would be minimal. When benchmarked against seventeen well-known industrial control loop case studies, the Intuitive ANFIS-based Method (IAM) accurately predicts the presence or absence of stiction in 65 of loops tested. © Published under licence by IOP Publishing Ltd."^^ . "2018" . . "458" . "1" . . "Institute of Physics Publishing"^^ . . . "IOP Conference Series: Materials Science and Engineering"^^ . . . "17578981" . . . . . . . . . . . . . . . . . . . . . . "A.A.A."^^ . "Mohd Amiruddin"^^ . "A.A.A. Mohd Amiruddin"^^ . . "H."^^ . "Zabiri"^^ . "H. Zabiri"^^ . . "B."^^ . "Kamaruddin"^^ . "B. Kamaruddin"^^ . . "M."^^ . "Ramasamy"^^ . "M. Ramasamy"^^ . . "S.S."^^ . "Jeremiah"^^ . "S.S. Jeremiah"^^ . . "W.K."^^ . "Teh"^^ . "W.K. Teh"^^ . . . . . "HTML Summary of #9444 \n\nIAM: An Intuitive ANFIS-based method for stiction detection\n\n" . "text/html" . .