Dirk Söffker

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Design, modelling, simulation and integration of cyber physical systems: Methods and applications

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks

The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

THE APPLICATION OF SOME NON-LINEAR METHODS IN ROTATING MACHINERY FAULT DIAGNOSIS

Fault Identification in Rotating Machinery Using the Correlation Dimension and Bispectra

Observer-based backstepping force control of an electrohydraulic actuator

Proportional multiple-integral observer design for descriptor systems with measurement output disturbances

Bi-level optimal sizing and energy management of hybrid electric propulsion systems

Applications of machine learning to machine fault diagnosis: A review and roadmap

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review

Aircraft Hybrid-Electric Propulsion: Development Trends, Challenges and Opportunities

THE APPLICATION OF PSEUDO-PHASE PORTRAIT IN MACHINE CONDITION MONITORING

Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping

Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models

Wear detection by means of wavelet-based acoustic emission analysis

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art Solutions

State estimation of dynamical systems with nonlinearities by using proportional-integral observer

Virtual Sensors for Diagnosis and Prognosis Purposes in the Context of Elastic Mechanical Structures

Chaotic motions and fault detection in a cracked rotor