
Teil der Reihe: Mechanical Engineering (R0)
Spatio-Temporal Abnormality Diagnosis for Industrial Distributed Parameter Systems
Inhaltsangabe
Introduction.- Spatial Basis Functions based Fault Localization for Linear Parabolic DPSs.- Spectral Approximation based Fault Localization for Nonlinear DPSs A Spatial Mapping Filter based Framework.- PDE Backstepping based Abnormality Detection and Localization for Linear Parabolic DPSs.- Spatial Decomposition based Fault Detection Framework for Parabolic-Distributed Parameter Processes.- Inverse ST Model based Abnormal Source Identification for Parabolic DPSs.- Adaptive PDE Observer based Abnormal Source Estimation for A Linear Unstable Parabolic DPS.- Computation efficient Fault Detection Framework for Partially known Nonlinear DPSs.- PDE Model-based On line Cell level Thermal Fault Localization Framework for Batteries.- Independent Component Analysis based Fault Detection and Localization for Partially Known DPSs.- From On line Systems Modeling to Fault Detection for A Class of Unknown High dimensional DPSs.- Dynamic Spatial independent-component analysis based Abnormality Localization for DPSs.
Produktdetails
- Erscheinungsdatum: 24.01.2026
- Autor/Autorin: Yun Feng,Han-Xiong Li,Yaonan Wang
- Reihe: Mechanical Engineering (R0)
- Format: E-Book
- Dateiformat: PDF
- Kopierschutz: Wasserzeichen
- Dateigröße: 16.1 MB
- Verlag: SPRINGER
- Sprache: Englisch
- Umfang: 256 Seiten
- ISBN: 9789819537501
- Lieferung: Sofort per Download
- Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
- Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Herstellerinformationen
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