Monitoring and Fault Diagnosis using Fisher Discrimnant Analysis

• Published in: 2007 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 1100 - 1105
• Main Authors: Xiao-Chu Tang, Yuan Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2007
• Subjects: Chemical processes; Cybernetics; Data models; Fault diagnosis; Fisher discriminant analysis; Machine learning; Matrix decomposition; Monitoring; Principal component analysis; Process control; Process monitoring; Vectors

This paper presents a new monitoring and fault diagnosis method based on Fisher discriminant analysis (FDA). Conventional process monitoring and fault diagnosis based on principal component analysis (PCA) has been widely applied to chemical process. However, such PCA-based approach is ill-suited to...