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Data-Driven Fault Detection For Industrial Processes ,Ed. :1

EGP 2,114.00

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Product details

Data-Driven Fault Detection for Industrial Processes is an essential academic resource authored by Zhiwen Chen, published by Springer in 2017. This book provides in-depth insights into the methodologies and applications of data-driven techniques for fault detection in industrial processes, making it a valuable addition to the library of professionals and students in the field.

Key Features

  • Author: Zhiwen Chen
  • Publisher: Springer
  • Edition: 1
  • Copyright: 2017
  • ISBN: 9783658167554
  • Field: Industrial Processes, Fault Detection

Why Choose This Book?

This book is perfect for students, researchers, and industry professionals looking to deepen their understanding of fault detection techniques and their applications in industrial settings. The comprehensive coverage ensures that readers gain practical insights and theoretical knowledge.

FAQ

  • Q: What is the main focus of this book?
    A: It focuses on data-driven methodologies for fault detection in industrial processes.
  • Q: Who is the author?
    A: The author is Zhiwen Chen.
  • Q: What is the ISBN of the book?
    A: The ISBN is 9783658167554.

Specifications

Key Features

Data-Driven Fault Detection for Industrial Processes ,Ed. :1 By Zhiwen Chen - Springer Copyright: 2017 ISBN - 9783658167554

Specifications

  • SKU: GE810BM0BER4TNAFAMZ
  • GTIN Barcode: 9783658167554
  • Color: original Book

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Data-Driven Fault Detection For Industrial Processes ,Ed. :1

Data-Driven Fault Detection For Industrial Processes ,Ed. :1

EGP 2,114.00

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