Model-based and Data-driven Techniques and Their Application to Fault Detection and Diagnosis in Engineering Systems and Information Retrieval

Model-based and Data-driven Techniques and Their Application to Fault Detection and Diagnosis in Engineering Systems and Information Retrieval
Author :
Publisher :
Total Pages : 200
Release :
ISBN-10 : OCLC:71354121
ISBN-13 :
Rating : 4/5 (21 Downloads)

Book Synopsis Model-based and Data-driven Techniques and Their Application to Fault Detection and Diagnosis in Engineering Systems and Information Retrieval by : Setu Madhavi Namburu

Download or read book Model-based and Data-driven Techniques and Their Application to Fault Detection and Diagnosis in Engineering Systems and Information Retrieval written by Setu Madhavi Namburu and published by . This book was released on 2006 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Model-based and Data-driven Techniques and Their Application to Fault Detection and Diagnosis in Engineering Systems and Information Retrieval Related Books

Model-based and Data-driven Techniques and Their Application to Fault Detection and Diagnosis in Engineering Systems and Information Retrieval
Language: en
Pages: 200
Data-Driven and Model-Based Methods for Fault Detection and Diagnosis
Language: en
Pages: 322
Authors: Majdi Mansouri
Categories: Technology & Engineering
Type: BOOK - Published: 2020-02-05 - Publisher: Elsevier

DOWNLOAD EBOOK

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring throu
Fault Detection and Diagnosis in Engineering Systems
Language: en
Pages: 512
Authors: Janos Gertler
Categories: Technology & Engineering
Type: BOOK - Published: 2017-11-22 - Publisher: Routledge

DOWNLOAD EBOOK

Featuring a model-based approach to fault detection and diagnosis in engineering systems, this book contains up-to-date, practical information on preventing pro
Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Language: en
Pages: 277
Authors: Jing Wang
Categories: Technology & Engineering
Type: BOOK - Published: 2022-01-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classif
Advanced methods for fault diagnosis and fault-tolerant control
Language: en
Pages: 664
Authors: Steven X. Ding
Categories: Technology & Engineering
Type: BOOK - Published: 2020-11-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

The major objective of this book is to introduce advanced design and (online) optimization methods for fault diagnosis and fault-tolerant control from different