Identificacion Principal del registro INGC-EBK-000784

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160920100518

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140422s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783658058074

a Standard number or code 10.1007/978-3-658-05807-4

a Personal name Haghani Abandan Sari, Adel.

a Title Data-Driven Design of Fault Diagnosis Systems

h Medium [libro electrónico] : ;

b Remainder of title Nonlinear Multimode Processes /

c Statement of responsibility, etc by Adel Haghani Abandan Sari.

a Place of publication, distribution, etc Wiesbaden :

b Name of publisher, distributor, etc Springer Fachmedien Wiesbaden :

b Name of publisher, distributor, etc Imprint: Springer Vieweg,

c Date of publication, distribution, etc 2014.

a Extent xix, 136 p. :

b Other physical details il.

a Formatted contents note Introduction -- An overview of fault diagnosis techniques -- Fault detection in multimode nonlinear systems -- Fault detection in multimode nonlinear dynamic systems -- Fault diagnosis in multimode nonlinear processes -- Bayesian approach for fault treatment -- Application and benchmark study -- Summary.

a Summary, etc 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, diï¬_erent 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. Contents Process monitoring Fault diagnosis and fault-tolerant control Data-driven approaches and decision making Target Groups Graduate students and scientists of automatic control and process engineering Engineers in field of process control and monitoring, mechatronic About the Author Adel Haghani Abandan Sari is research assistant with Institute of Automation, university of Rostock. His research interests include data-driven process monitoring and fault-tolerant control with focus on large-scale industrial processes.

a Topical term or geographic name as entry element Applied mathematics.

a Topical term or geographic name as entry element Engineering mathematics.

a Topical term or geographic name as entry element Control engineering.

a Topical term or geographic name as entry element Robotics.

a Topical term or geographic name as entry element Mechatronics.

a Topical term or geographic name as entry element Industrial engineering.

a Topical term or geographic name as entry element Production engineering.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Methods of Engineering.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-658-05807-4

c item type EBK

a descripción COM