Sensor placement for fault diagnosis using genetic algorithm

• Main Authors: Chi, Guoyi, Wang, Danwei, Yu, Ming, Alavi, Marjan, Le, Tung, Luo, Ming
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/102788; http://hdl.handle.net/10220/16441
• Institution: Nanyang Technological University

This paper presents a novel methodology for the purpose of fault detection and isolation (FDI) to a two-tank system. This new methodology benefits from the basic facts that faults are embedded in the analytical redundancy relations (ARRs) and that the occurrence of a fault will cause the correspondi...