Real Time Fault Monitoring of Industrial Processes
Author:   A.D. Pouliezos ,  George S. Stavrakakis
Publisher:   Springer
Edition:   1994 ed.
Volume:   12
ISBN:  

9780792327370


Pages:   542
Publication Date:   31 March 1994
Format:   Hardback
Availability:   In Print   Availability explained
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Real Time Fault Monitoring of Industrial Processes


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Overview

This text presents a detailed exposition of fault monitoring methods in industrial processes and structures. The following approaches are explained in considerable detail: Model-based methods (simple tests, analytical redundancy, parameter estimation); knowledge-based methods; artificial neural network methods; and nondestructive testing. Each approach is complemented by specific case studies from various industrial sectors (aerospace, chemical, nuclear, etc.), thus bridging theory and practice. This volume should be a useful tool in the hands of professional and academic engineers, and for scientists whose work involves automatic process control and supervision, statistical process control, applied statistics, quality control, computer-assisted predictive maintenance and plant monitoring, and structural reliability and safety. It can also be recommended as a supplementary postgraduate textbook.

Full Product Details

Author:   A.D. Pouliezos ,  George S. Stavrakakis
Publisher:   Springer
Imprint:   Springer
Edition:   1994 ed.
Volume:   12
Dimensions:   Width: 15.60cm , Height: 3.10cm , Length: 23.40cm
Weight:   2.170kg
ISBN:  

9780792327370


ISBN 10:   0792327373
Pages:   542
Publication Date:   31 March 1994
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Fault Detection and Diagnosis Methods in the Absence of Process Model.- 2 Analytical Redundancy Methods.- 3 Parameter Estimation Methods for Fault Aionitoring.- 4 Autodiatic Expert Process Fault Diagnosis and Supervision.- 5 Fault Diagnosis Using Artificial Neural Networks (ANNs).- 6 In-Time Failure Prognosis and Fatigue Life Prediction of Structures.- Author index.

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