Open AccessIdentification and Diagnosis of Fault in Consistent Mixed Tank Reactor using Neural System
Author(s) -
R Gowthami,
Aravindaguru,
Vijaya Hari
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f8540.088619
Subject(s) - continuous stirred tank reactor , process (computing) , controller (irrigation) , process engineering , artificial neural network , process control , fault (geology) , engineering , control theory (sociology) , identification (biology) , control engineering , computer science , control (management) , artificial intelligence , chemical engineering , agronomy , botany , seismology , biology , geology , operating system
The Consistent Mixed Tank Reactor is widely used in chemical processing plants, food processing industries and in pharmaceutical industries. The Consistent Mixed Tank Reactor is a nonlinear process. If any of inputs to the process or any parameters in the process gets changed means the entire working of the plant gets changed. And also it leads to decrease the accuracy of the final or end product. So, to get required end result the accuracy developed in the Consistent Mixed Tank Reactor process where the tank is in running condition need to be identified and necessary steps should be taken to avoid those fault. There are several fault diagnosis methods available. Among those techniques, the Neural System Prescient Controller can be utilized to identify and diagnose the error present inside Consistent Mixed Tank Reactor tank. From the Neural System Prescient Controller, the servo response is obtained to understand clearly about the behavior of the Consistent Mixed Tank Reactor tank process. Thus, by selecting suitable controlling techniques the accuracy of the desired product can be obtained in Consistent Mixed Tank Reactor tank.