Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA.. Energies 2023, (16)3714April 2023. [PUMA: Assessment Classification Condition FRA Fault Forest Random Transformer Using Winding]
Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data. Procedia CIRP, (121):216–221, Elsevier BV, 2024. [PUMA: analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool] URL
Condition Assessment of Power Transformers by UHF PD Measurements. 2022. [PUMA: Assessment Condition Measurements PD Power Transformers UHF by of]
Transformer Winding Condition Assessment Using Feedforward Artificial Neural Network and Frequency Response Measurements.. Energies 2021, (14)3227May 2021. [PUMA: Artificial Assessment Condition Feedforward Frequency Measurements. Network Neural Response Transformer Using Winding and]
Experienced-based Evaluation of Economic Benefits of On-line Monitoring Systems for Power Transformers. 2002. [PUMA: Assessment Benefits Calculation Condition Economic Internet Monitoring On-line Overload Power Transformer] URL
Benefit of sensors for on-line monitoring systems for power transformers. 2003. [PUMA: Power assessment condition internet monitoring on-line transformer] URL
Condition based risk management of power system asset. 2003. [PUMA: Condition asset based management power risk system] URL
Transformer Life Management German Experience with Condition Assessment. 327-342, 2004. [PUMA: Assessment Condition Experience German Life Management Transformer] URL
Electromagnetic (UHF) PD Diagnosis of GIS, Cable Accessories and Oil-paper Insulated Power Transformers for Improved PD Detection and Localization. 2006. [PUMA: Accessories Assessment Cable Condition GIS On-site PD-Measurement Power Transformers UHF] URL
Investigation on Sampling, Measurement and Interpretation of Gas-in-Oil Analysis for Power Transformers. 2008. [PUMA: Analysis Condition Dissolved Fuzzy Gas Inference Monitoring Oil Pattern Power Recognition Sampling System Trainable Transformer] URL
Mechanical Condition Assessment of Transformer Windings using Frequency Response Analysis (FRA). Report WG A2.26 (CIGRE), Electra, 237:34-46, April 2008. [PUMA: Analysis Assessment Condition FRA Frequency Mechanical Response Transformer Windings]
Recommendations for Condition Monitoring and Condition Assessment Facilities for Transformers. Report WG A2.27 (CIGRE), Electra, 237:48-57, April 2008. [PUMA: Assessment Condition Facilities Monitoring Transformers]
On-Site Condition Assessment of HV Cable Terminations in Service. 2009. [PUMA: Assessment Cable Condition HV On-Site Terminations] URL
Condition Monitoring as a Basis for Effective Asset Management. 2010. [PUMA: Asset Condition Effective Management Monitoring]
UHF Sensor Placement on Power Transformers for PD Monitoring. 2019. [PUMA: Assessment Condition Monitoring PD Positioning Power Sensor Transformer UHF] URL
Positioning of UHF PD Sensors on Power Transformers Based on the Attenuation of UHF Signals. IEEE Transactions on Power Delivery, (34)4:1520-1529, August 2019. [PUMA: UHF assessment condition discharges electromagnetic monitoring partial power propa-gation signal transformers waves] URL
The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson's & Eating Condition. Sixteenth Annual Conference of the International Speech Communication Association, 2015. [PUMA: Challenge, Eating Paralinguistic Parkinson, condition nativeness,]
Kontinuierliche Kennwertberechnung als steuerungsinterne Task. Tagungsband SPS/IPC/Drives 2010, Fachmesse & Kongress, 23.-25. Nov. 2010, Nürnberg, 361-370, VDE Verlag GmbH, Berlin, 2010. [PUMA: ISW ball condition control-internal drive monitoring task xkt]
Sensorless Automated Condition Monitoring for the Control of the PredictiveMaintenance of Machine Tools: Sensorless Automated Condition Monitoring for the Control of the PredictiveMaintenance of Machine Tools. --, 2009. [PUMA: Analysis CNC Condition Drives, Feed ISW Monitoring, Signal]
Numerical analysis of relaxation test based on Prony series material model: Numerical analysis of relaxation test based on Prony series material model. --, 2010. [PUMA: ∙ Boundary FEM Hypoviscoelastic ISW Prony Relaxation condition effect material modeling series test]