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Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused...

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Váldodahkkit: Lei, Yaguo (Dahkki), Li, Naipeng (Dahkki), Li, Xiang (Dahkki)
Searvvušdahkki: SpringerLink (Online service)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Preanttus:1st ed. 2023.
Fáttát:
Machinery.
Machinery and Machine Elements.
Liŋkkat:https://doi.org/10.1007/978-981-16-9131-7
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Sisdoallologahallan:
  • Introduction and Background
  • Traditional Intelligent Fault Diagnosis
  • Hybrid Intelligent Fault Diagnosis Methods
  • Deep Learning-Based Intelligent Fault Diagnosis
  • Data-Driven RUL Prediction
  • Data-Model Fusion RUL Prediction.

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