Data-Driven Fault Detection and Reasoning for Industrial Monitoring (Record no. 200458061)

MARC details
000 -LEADER
fixed length control field 03874nam a22005655i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231116085138.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220103s2022 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811680441
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-16-8044-1
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T59.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code TBM
Source bicssc
Subject category code TEC037000
Source bisacsh
Subject category code TBM
Source thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) T59.5EBK
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wang, Jing.
Relator term author.
Authority record control number or standard number (orcid)0000-0002-6847-8452
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Medium [electronic resource] /
Statement of responsibility, etc. by Jing Wang, Jinglin Zhou, Xiaolu Chen.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Intelligent Control and Learning Systems,
International Standard Serial Number 2662-5466 ;
Volume/sequential designation 3
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Basic Statistical Fault Detection Problems -- Principal Component Analysis -- Canonical Variate Analysis -- Partial Least Squares Regression -- Fisher Discriminant Analysis -- Canonical Variate Analysis -- Fault Classification based on Local Linear Embedding -- Fault Classification based on Fisher Discriminant Analysis -- Quality-Related Global-Local Partial Least Square Projection Monitoring -- Locality-Preserving Partial Least-Squares Statistical Quality Monitoring -- Locally Linear Embedding Orthogonal Projection to Latent Structure (LLEPLS) -- Bayesian Causal Network for Discrete Systems -- Probability Causal Network for Continuous Systems -- Dual Robustness Projection to Latent Structure Method based on the L_1 Norm.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Industrial engineering.
Topical term or geographic name entry element Automation.
Topical term or geographic name entry element Computational intelligence.
Topical term or geographic name entry element Industrial Automation.
Topical term or geographic name entry element Computational Intelligence.
Topical term or geographic name entry element Automation.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Fault location (Engineering) -- Data processing
Uncontrolled term Industrial engineering -- Data processing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhou, Jinglin.
Relator term author.
Authority record control number or standard number (orcid)0000-0003-1589-7423
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
Personal name Chen, Xiaolu.
Relator term author.
Authority record control number or standard number (orcid)0000-0002-4701-7235
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Intelligent Control and Learning Systems,
International Standard Serial Number 2662-5466 ;
Volume/sequential designation 3
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-16-8044-1">https://doi.org/10.1007/978-981-16-8044-1</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book

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