121,58 €
135,09 €
-10% with code: EXTRA
Deep Learning-Based Machinery Fault Diagnostics
Deep Learning-Based Machinery Fault Diagnostics
121,58
135,09 €
  • We will send in 10–14 business days.
This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machin…
  • Publisher:
  • ISBN-10: 3036551735
  • ISBN-13: 9783036551739
  • Format: 17 x 24.4 x 2.4 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Deep Learning-Based Machinery Fault Diagnostics (e-book) (used book) | bookbook.eu

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This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis.

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  • Publisher:
  • ISBN-10: 3036551735
  • ISBN-13: 9783036551739
  • Format: 17 x 24.4 x 2.4 cm, hardcover
  • Language: English English

This book offers a compilation for experts, scholars, and researchers to present the most recent advancements, from theoretical methods to the applications of sophisticated fault diagnosis techniques. The deep learning methods for analyzing and testing complex mechanical systems are of particular interest. Special attention is given to the representation and analysis of system information, operating condition monitoring, the establishment of technical standards, and scientific support of machinery fault diagnosis.

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