Fault detection and diagnosis using cubature kalman filter for nonlinear process systems

• Main Authors: Ahmad Nazri, Muhammad Naguib, Ismail, Zool Hilmi, Yusof, Rubiyah
• Format: Article
• Published: Universiti Teknikal Malaysia, Melaka 2016
• Subjects: T Technology; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/68455/; http://journal.utem.edu.my/index.php/jtec/article/view/1411
• Institution: Universiti Teknologi Malaysia

This paper presents a fault detection and diagnosis (FDD) for a nonlinear systems using multiple Cubat ure Kalman Filter (CKF) model. The proposed s cheme able to identify sensors and actuators fault even with the presences of process and measurement noise. Comparison...