TY  - CONF
N1  - cited By 0; Conference of 5th International Conference on Process Engineering and Advanced Materials, ICPEAM 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143521
N2  - 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.
KW  - Adaptive control systems; Process engineering; Stiction
KW  -  Adaptive neuro-fuzzy; Case-studies; Control loop; Control performance; In-control; Industrial controls; New approaches
KW  -  Fuzzy inference
ID  - scholars9444
TI  - IAM: An Intuitive ANFIS-based method for stiction detection
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059421549&doi=10.1088%2f1757-899X%2f458%2f1%2f012054&partnerID=40&md5=47a0de68cdd60388bd5c98f94af41010
A1  - Jeremiah, S.S.
A1  - Zabiri, H.
A1  - Ramasamy, M.
A1  - Kamaruddin, B.
A1  - Teh, W.K.
A1  - Mohd Amiruddin, A.A.A.
VL  - 458
Y1  - 2018///
SN  - 17578981
PB  - Institute of Physics Publishing
ER  -