A particle filter driven dynamic Gaussian mixture model approach for complex process monitoring and fault diagnosis

• Published in: Journal of process control Vol. 22; no. 4; pp. 778 - 788
• Main Author: Yu, Jie
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2012
• Subjects: Dynamic Gaussian mixture model; Dynamic mode shifts; Fault detection; Fault diagnosis; Non-Gaussian process; Particle filter; Fault diagnosis; Dynamic mode shifts; Fault detection; Dynamic Gaussian mixture model; Particle filter; Non-Gaussian process

► A particle filter driven dynamic Gaussian mixture model is developed. ► Particle filtered Bayesian inference probability index for fault detection. ► Particle filtered Bayesian contribution decomposition for fault diagnosis. ► Superior capability in handling dynamic operating scenario changes in p...