Advanced condition monitoring method for high voltage overhead lines based on visual inspectionManninen, Henri; Kilter, Jako; Landsberg, Mart2018 IEEE Power & Energy Society General Meeting (PESGM 2018) : Portland, Oregon, USA, 5-10 August 20182018 / p. 2321-2325 : ill https://doi.org/10.1109/PESGM.2018.8586498

Advanced methodology for estimation of value of lost load (VOLL) using equipment specific health indicesManninen, Henri; Kilter, Jako; Landsberg, Mart2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings2019 / 6 p https://doi.org/10.1109/PQ.2019.8818245

Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodikaManninen, Henri2022 https://doi.org/10.23658/taltech.4/2022 https://digikogu.taltech.ee/et/Item/b0c60eaf-b740-4df5-bead-0dd793d5e6c8 https://www.ester.ee/record=b5491207*est

Health index prediction of overhead transmission lines : a machine learning approachManninen, Henri; Kilter, Jako; Landsberg, MartIEEE transactions on power delivery2022 / p. 50-58 https://doi.org/10.1109/TPWRD.2021.3052721 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

A holistic risk-based maintenance methodology for transmission overhead lines using tower specific health indices and value of loss loadManninen, Henri; Kilter, Jako; Landsberg, MartInternational journal of electrical power and energy systems2022 / art. 107767 ; 11 p. : ill https://doi.org/10.1016/j.ijepes.2021.107767 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Measurement and operation based condition monitoring methodology for high voltage circuit breakersAsefi, Sajjad; Andreesen, Guido; Leinakse, Madis; Kilter, Jako; Kalmet, Tauri; Manninen, Henri; Landsberg, Mart2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings2022 / Art. 184786 https://doi.org/10.1109/ISGT-Europe54678.2022.9960521

Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Resilient expansion planning of virtual power plant with an integrated energy system considering reliability criteria of lines and towersMishra, Sambeet; Bordin, Chiara; Wu, Qiuwei; Manninen, HenriInternational journal of energy research2022 / p. 13726-13751 https://doi.org/10.1002/er.8093 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Toward automated utility pole condition monitoring : a deep learning approachRamlal, Craig J.; Singh, Arvind; Rocke, Sean; Manninen, Henri; Kilter, Jako; Landsberg, MartProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 255–259 https://doi.org/10.1109/ISGT-Europe47291.2020.9248797

Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniquesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Rocke, Sean; Kilter, Jako; Landsberg, MartInternational journal of electrical power & energy systems2021 / art. 106726 https://doi.org/10.1016/j.ijepes.2020.106726 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Vananevaid elektisüsteeme saaks senisest mõistlikumalt uuendadaMente et Manu2022 / lk. 44-45 : fot https://www.ester.ee/record=b1242496*est

Variability of high voltage circuit breaker performance parameters for condition monitoringAsefi, Sajjad; Kiitam, Ivar; Manninen, Henri; Kilter, Jako; Tealane, Marko; Landsberg, MartInternational Conference on Condition Monitoring, Diagnosis and Maintenance 2023 - CMDM 2023 (7th edition), Bucharest, Romania, October 31th - November 2nd, 2023 : proceedings2023 / p. 1-10