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Data Intensive Industrial Asset Management - IoT-based Algorithms and Implementation (Hardcover, 1st ed. 2020) Loot Price: R2,948
Discovery Miles 29 480
Repayment Terms: R276 pm x 12*
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Data Intensive Industrial Asset Management - IoT-based Algorithms and Implementation (Hardcover, 1st ed. 2020): Farhad Balali,...

Data Intensive Industrial Asset Management - IoT-based Algorithms and Implementation (Hardcover, 1st ed. 2020)

Farhad Balali, Jessie Nouri, Adel Nasiri, Tian Zhao

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Loot Price R2,948 Discovery Miles 29 480 | Repayment Terms: R276 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: 2020
First published: 2020
Authors: Farhad Balali • Jessie Nouri • Adel Nasiri • Tian Zhao
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 236
Edition: 1st ed. 2020
ISBN-13: 978-3-03-035929-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
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LSN: 3-03-035929-8
Barcode: 9783030359294

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