Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes

by

Write The First Customer Review

In many industrial applications early detection and diagnosis of abnormal behavior of the plant is of great importance. During the last decades, the complexity of process plants has been drastically increased, which imposes great challenges in development of model-based monitoring approaches and it sometimes becomes unrealistic for modern large-scale processes. The main objective of Adel Haghani Abandan Sari is to study efficient fault diagnosis techniques for complex industrial systems using process historical data and ...

Data-Driven Design of Fault Diagnosis Systems: Nonlinear Multimode Processes 2014, Springer Vieweg, Weisbaden

ISBN-13: 9783658058067

2014 edition

Paperback

Select