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)3227Mai 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