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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering

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Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems (Hardcover) Loot Price: R2,699
Discovery Miles 26 990
You Save: R555 (17%)
Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems (Hardcover): Rui Yang, Maiying Zhong

Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems (Hardcover)

Rui Yang, Maiying Zhong

Series: Advances in Intelligent Decision-Making, Systems Engineering, and Project Management

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Was R3,254 Loot Price R2,699 Discovery Miles 26 990 | Repayment Terms: R253 pm x 12* You Save R555 (17%)

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This book provides advanced techniques for precision compensation and fault diagnosis of precision motion systems and rotating machinery. Techniques and applications through experiments and case studies for intelligent precision compensation and fault diagnosis are offered along with the introduction of machine learning and deep learning methods. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems discusses how to formulate and solve precision compensation and fault diagnosis problems. The book includes experimental results on hardware equipment used as practical examples throughout the book. Machine learning and deep learning methods used in intelligent precision compensation and intelligent fault diagnosis are introduced. Applications to deal with relevant problems concerning CNC machining and rotating machinery in industrial engineering systems are provided in detail along with applications used in precision motion systems. Methods, applications, and concepts offered in this book can help all professional engineers and students across many areas of engineering and operations management that are involved in any part of Industry 4.0 transformation.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Advances in Intelligent Decision-Making, Systems Engineering, and Project Management
Release date: May 2022
Authors: Rui Yang • Maiying Zhong
Dimensions: 234 x 156 x 13mm (L x W x T)
Format: Hardcover
Pages: 80
ISBN-13: 978-1-03-214725-3
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Professional & Technical > Environmental engineering & technology > General
Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > General
Books > Professional & Technical > Civil engineering, surveying & building > Hydraulic engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 1-03-214725-3
Barcode: 9781032147253

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