Structural Health Assessment and Remaining Useful Life Estimation for Industrial System
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Duisburg, Essen, Universität Duisburg-Essen, Dissertation, 2019
- Classification
-
Ingenieurwissenschaften und Maschinenbau
- Keyword
-
Evaluation
Health
Life
- Event
-
Veröffentlichung
- (where)
-
Duisburg, Essen
- (who)
-
Universität Duisburg-Essen
- (when)
-
2019
- Creator
- Contributor
- DOI
-
10.17185/duepublico/70572
- URN
-
urn:nbn:de:hbz:464-20191017-131954-1
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mat Jihin, Rosmawati
- Söffker, Dirk
- Universität Duisburg-Essen
Time of origin
- 2019
Other Objects (12)
Systemtheoretische Modellbildung der wissensgeleiteten Mensch-Maschine-Interaktion
Zur Modellbildung und Regelung längenvariabler, elastischer Roboterarme
Contributions to Acoustic Emission-based Structural Health Monitoring and Process Monitoring
Wiener structures for modeling and nonlinear predictive control of proton exchange membrane fuel cell
New parametric evaluation and fusion strategy for vibration diagnosis systems and classification approaches applied to machine learning and computer vision systems
Data driven-based human reliability analysis for individualized human supervision and reliability evaluation in situated context
Qualification of metalworking fluids by Tapping Torque Tests and related Acoustic Emission-based classifications
Structural Health Monitoring of Wind Turbine Systems : Data-based Lifetime Models Development for Integration into Control Systems
Improved machine learning approaches designed and validated in different engineering application fields
Application of Wavelets-based SVM Classification for Automated Fault Diagnosis and Prognosis of Mechanical Systems
Development of reliable machine learning approaches to systems with structural change like human intention behavior and machine diagnosis
Online power management with embedded optimization for a multi-source hybrid with real time applications
Systemtheoretische Modellbildung der wissensgeleiteten Mensch-Maschine-Interaktion
Zur Modellbildung und Regelung längenvariabler, elastischer Roboterarme
Contributions to Acoustic Emission-based Structural Health Monitoring and Process Monitoring
Wiener structures for modeling and nonlinear predictive control of proton exchange membrane fuel cell
New parametric evaluation and fusion strategy for vibration diagnosis systems and classification approaches applied to machine learning and computer vision systems
Data driven-based human reliability analysis for individualized human supervision and reliability evaluation in situated context
Qualification of metalworking fluids by Tapping Torque Tests and related Acoustic Emission-based classifications
Structural Health Monitoring of Wind Turbine Systems : Data-based Lifetime Models Development for Integration into Control Systems
Improved machine learning approaches designed and validated in different engineering application fields
Application of Wavelets-based SVM Classification for Automated Fault Diagnosis and Prognosis of Mechanical Systems
Development of reliable machine learning approaches to systems with structural change like human intention behavior and machine diagnosis
Online power management with embedded optimization for a multi-source hybrid with real time applications
Systemtheoretische Modellbildung der wissensgeleiteten Mensch-Maschine-Interaktion
Zur Modellbildung und Regelung längenvariabler, elastischer Roboterarme
Contributions to Acoustic Emission-based Structural Health Monitoring and Process Monitoring
Wiener structures for modeling and nonlinear predictive control of proton exchange membrane fuel cell
New parametric evaluation and fusion strategy for vibration diagnosis systems and classification approaches applied to machine learning and computer vision systems
Data driven-based human reliability analysis for individualized human supervision and reliability evaluation in situated context
Qualification of metalworking fluids by Tapping Torque Tests and related Acoustic Emission-based classifications
Structural Health Monitoring of Wind Turbine Systems : Data-based Lifetime Models Development for Integration into Control Systems
Improved machine learning approaches designed and validated in different engineering application fields
Application of Wavelets-based SVM Classification for Automated Fault Diagnosis and Prognosis of Mechanical Systems
Development of reliable machine learning approaches to systems with structural change like human intention behavior and machine diagnosis