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

✍ Scribed by Adel Haghani Abandan Sari (auth.)

Publisher: Vieweg+Teubner Verlag
Year: 2014
Tongue: English
Leaves: 149
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XIX
Introduction....Pages 1-10
An overview of fault diagnosis techniques....Pages 11-30
Fault detection in multimode nonlinear systems....Pages 31-46
Fault detection in multimode nonlinear dynamic systems....Pages 47-63
Fault diagnosis in multimode nonlinear processes....Pages 65-73
Bayesian approach for fault treatment....Pages 75-86
Application and benchmark study....Pages 87-108
Back Matter....Pages 109-136

✦ Subjects

Control, Robotics, Mechatronics; Industrial and Production Engineering; Appl.Mathematics/Computational Methods of Engineering

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