Anfis Based Fault Detection And Identification Of Control Valve Failures In Three Tanks Interacting Level Process
Year: 2019
Type: article
Abstract: Fault detection and identification for control valve failures in a three tanks interacting level process (TTILP) and failure accommodation under such failure conditions is presented in this paper.. The proposed Fault Detection and Identification is done based on multiple model observer approach and the observers are developed using Adaptive Neuro-Fuzzy Inference System (ANFIS). Four models are developed with a dedicated observer to represent the three control valve failures ‘struck at minimum flow position’, ‘struck at maximum flow position’, and ‘struck at last maintained position’ and the controller failure respectively. Decision functions are developed from the outputs of these models to identify the failures. Fault Confirmation Logic uses two more multiple model observers to avoid false alarms. The three types of control valve failures are considered in this paper. The results show that the TTLIP is able to control perfectly even under any type of control valve failure.
Institution: Easwari Engineering College
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4236380786