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Data-Driven Design of Fault Diagnosis Systems : Nonlinear Multimode Processes by Adel Haghani Abandan Sari (auth.) is a nonfiction available to read on EtoBox.

What is Data-Driven Design of Fault Diagnosis Systems : Nonlinear Multimode Processes about?

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 considering the nonlinear behavior of the process. To this end, different methods are presented to solve the fault diagnosis problem based on the overall behavior of the process and its dynamics. Moreover, a novel technique is proposed for fault isolation and determination of the root-cause of the faults in the system, based on the fault impacts on the process measurements.

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

Author

Adel Haghani Abandan Sari (auth.)

Publisher

Vieweg+Teubner Verlag

Published

2014

Language

EN

ISBN

9783658058074

Category

nonfiction

Subjects

Engineering, Mathematics, Stem