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ORCIDChristina Hirschl
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2020 – today
- 2021
[j4]Vesna Dimitrievska
, Federico Pittino, Wolfgang Mühleisen, Nicole Diewald, Markus Hilweg, András Montvay, Christina Hirschl:
Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants. Sensors 21(11): 3733 (2021)- 2020
- [j3]Federico Pittino, Michael Puggl, Thomas Moldaschl, Christina Hirschl:
Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods. Sensors 20(8): 2344 (2020) - [j2]Johanna Zikulnig, Ali Roshanghias, Lukas Rauter, Christina Hirschl:
Evaluation of the Sheet Resistance of Inkjet-Printed Ag-Layers on Flexible, Uncoated Paper Substrates Using Van-der-Pauw's Method. Sensors 20(8): 2398 (2020)
2010 – 2019
- 2019
- [j1]Lisa-Marie Faller, Martin Lenzhofer, Christina Hirschl, Martin Kraft, Hubert Zangl:
Characterization of a Robust 3D- and Inkjet-Printed Capacitive Position Sensor for a Spectrometer Application. Sensors 19(3): 443 (2019) - 2016
- [c3]Thomas Arnold, Johannes Schicker, Martin Kraft, Christina Hirschl:
Non-contact measurement of silicon thin wafer warpage by THz tomography and laser triangulation. IEEE SENSORS 2016: 1-3 - 2013
- [c2]Martin De Biasio, Raimund Leitner, Christina Hirschl:
Detection of snail tracks on photovoltaic modules using a combination of Raman and fluorescence spectroscopy. ICST 2013: 334-337 - [c1]Michael Schwark, Karl Berger, Rita Ebner, Gusztav Ujvari, Christina Hirschl, Lukas Neumaier, Wolfgang Mühleisen:
Investigation of potential induced degradation (PID) of solar modules from different manufacturers. IECON 2013: 8090-8097
Coauthor Index
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