Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Record no. 200456964)

MARC details
000 -LEADER
fixed length control field 03790nam a22005775i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231115152919.0
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 210829s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030838195
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-83819-5
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 Q325.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code TGP
Source bicssc
Subject category code TEC020000
Source bisacsh
Subject category code TGP
Source thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) Q325.5EBK
245 10 - TITLE STATEMENT
Title Control Charts and Machine Learning for Anomaly Detection in Manufacturing
Medium [electronic resource] /
Statement of responsibility, etc. edited by Kim Phuc Tran.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- 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 Springer Series in Reliability Engineering,
International Standard Serial Number 2196-999X
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Anomaly Detection in Manufacturing -- EWMA Time-Between-Events-and-Amplitude Control Charts for Correlated Data -- An Adaptive Exponentially Weighted Moving Average Chart for the Ratio of Two Normal Variables -- On the Performance of CUSUM t Chart in the Presence of Measurement Errors -- The Effect of Autocorrelation on the Shewhart Control Chart for the Ratio of Two Normal Variables -- LSTM Autoencoder Control Chart for Multivariate Time Series Data -- Real-Time Production Monitoring Approach for Smart Manufacturing with Artificial Intelligence Techniques -- Anomaly Detection in Graph with Machine Learning -- Profile Control Charts Based on Support Vector Data Description -- An Anomaly Detection Approach Based on the Combination of LSTM Autoencoder and Isolation Forest for Multivariate Time Series Data.
520 ## - SUMMARY, ETC.
Summary, etc. This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution. The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes. The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Manufactures.
Topical term or geographic name entry element Industrial Management.
Topical term or geographic name entry element Machine learning.
Topical term or geographic name entry element Statistics .
Topical term or geographic name entry element Cooperating objects (Computer systems).
Topical term or geographic name entry element Machines, Tools, Processes.
Topical term or geographic name entry element Industrial Management.
Topical term or geographic name entry element Machine Learning.
Topical term or geographic name entry element Applied Statistics.
Topical term or geographic name entry element Cyber-Physical Systems.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial intelligence -- Industrial applications
Uncontrolled term Machine learning
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tran, Kim Phuc.
Relator term editor.
Authority record control number or standard number (orcid)0000-0002-6005-1497
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
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 Springer Series in Reliability Engineering,
International Standard Serial Number 2196-999X
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-83819-5">https://doi.org/10.1007/978-3-030-83819-5</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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type Public note
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 11/10/2023 Satın Alma / Purchase YAP   Q325.5EBK EBK02899 15/11/2023 1 15/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.