Detection of snail tracks on photovoltaic modules using a combination of Raman and fluorescence spectroscopy. - Martin De Biasio; Raimund Leitner; Christina Hirschl (ICST, 2013)

Investigation of potential induced degradation (PID) of solar modules from different manufacturers. - Michael Schwark; Karl Berger; Rita Ebner; Gusztav Ujvari; Christina Hirschl; Lukas Neumaier; Wolfgang Mühleisen (IECON, 2013)

Non-contact measurement of silicon thin wafer warpage by THz tomography and laser triangulation. - Thomas Arnold; Johannes Schicker; Martin Kraft; Christina Hirschl (IEEE SENSORS, 2016)

Characterization of a Robust 3D- and Inkjet-Printed Capacitive Position Sensor for a Spectrometer Application. - Lisa-Marie Faller; Martin Lenzhofer; Christina Hirschl; Martin Kraft; Hubert Zangl (Sensors, 2019)

Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods. - Federico Pittino; Michael Puggl; Thomas Moldaschl; Christina Hirschl (Sensors, 2020)

Evaluation of the Sheet Resistance of Inkjet-Printed Ag-Layers on Flexible, Uncoated Paper Substrates Using Van-der-Pauw's Method. - Johanna Zikulnig; Ali Roshanghias; Lukas Rauter; Christina Hirschl (Sensors, 2020)

Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants. - Vesna Dimitrievska; Federico Pittino; Wolfgang Mühleisen; Nicole Diewald; Markus Hilweg; András Montvay; Christina Hirschl (Sensors, 2021)