Monitoring Multimode Continuous Processes
A Data-Driven Approach
This book examines recent methods for data-driven fault diagnosis of 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.
A Data-Driven Approach
This book examines recent methods for data-driven fault diagnosis of 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.
Description
A Data-Driven Approach
This book examines recent methods for data-driven fault diagnosis of 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.
