Monitoring Multimode Continuous Processes

Beschreibung

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.
This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and systematically presents the main concepts, and approaches required to design fault diagnosis methods for multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.

Presents data-driven fault diagnosis Discusses multimode continuous processes Lists monitoring schemes for steady, non-steady, and mixed-mode processes

Autor*in

Marcos Quiñones-Grueiro

Themen in »Monitoring Multimode Continuous Processes«

Data driven fault diagnosis Multimode processes Clustering Multivariate statistical methods statistical analysis data mining fault diagnosis unsupervised methods for multimode continous processes

Stimmen zu »Monitoring Multimode Continuous Processes«

Details

Link teilen