Data Intensive Industrial Asset Management (Record no. 75652)

000 -LEADER
fixed length control field 03965nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-030-35930-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801213832.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200122s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030359300
-- 978-3-030-35930-0
082 04 - CLASSIFICATION NUMBER
Call Number 621
100 1# - AUTHOR NAME
Author Balali, Farhad.
245 10 - TITLE STATEMENT
Title Data Intensive Industrial Asset Management
Sub Title IoT-based Algorithms and Implementation /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXI, 236 p. 132 illus., 126 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Principles of Internet of Things (IoT) -- Asset Management and Maintenance Policies -- Statistical Data Analysis -- Descriptive, Diagnostics, Predictive, and Prescriptive Analysis -- Fault and Risk Analysis -- Predictive Failure Detection Algorithms -- Smart Device Function and Operation -- Data Driven Approaches -- Parameter Selection and Real Time Monitoring -- Edge and Cloud Computing -- Data Analytics and Visualization -- Artificial Intelligence for Predictive Maintenance -- Implementation Tools -- Case Studies.
520 ## - SUMMARY, ETC.
Summary, etc This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system. Provides a comprehensive reference, focused on the Asset Health Management Optimization Approach Using Internet of Things (IoT); Describes a data-driven optimization method, which considers the challenges raise by big data analysis; Enables a multi-objective approach, which includes the healthy index, reliability, availability, and cost, with respect to the optimization methods and computational restrictions which can have various applications.
700 1# - AUTHOR 2
Author 2 Nouri, Jessie.
700 1# - AUTHOR 2
Author 2 Nasiri, Adel.
700 1# - AUTHOR 2
Author 2 Zhao, Tian.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-35930-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Security systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Buildings—Design and construction.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics .
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Security Science and Technology.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Building Construction and Design.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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