April 29, 2024
Ardashir Mohammadzadeh

Ardashir Mohammadzadeh

Academic rank: Associate professor
Address: University of Bonab
Education: Ph.D in Electrical engineering-Control
Phone: 0413775000
Faculty: Faculty of Engineering
Department: Electrical Engineering

Research

Title
Chapter 11 - Application of artificial intelligence in modeling, control, and fault diagnosis
Type Book
Keywords
Fault diagnosis Fault detection Fuzzy logic Support vector machine Artificial neural networks
Researchers Mohsen Hadyan، Seyed Mohammad Ebrahimi Saryazdi، Ardashir Mohammadzadeh، Masoud Babaei

Abstract

Advanced control systems are becoming more and more sophisticated every day. For safety-critical systems such as chemical processes, nuclear reactors, aircraft and spacecraft, the issue of reliability, acceptable performance, and environmental protection are of particular importance. If a fault occurs, the damages to financial, human, and environmental could be severe. As a result, there is a growing need for online monitoring and Fault Detection, or to identify system faults to improve reliability. Accordingly, it is viable to apply the preliminary signs and to prevent the system from stopping and the occurrence of a catastrophe to a large extent. Fault diagnostic methods can be divided into two general categories of model-based and data-based methods. In this chapter, we will look at the second category, which includes fuzzy logic, neural network, and support vector machines.