scholarly journals Performance-Based Ice Detection Methodology

2017 ◽  
Author(s):  
Christoph Deiler ◽  
Nicolas Fezans
Keyword(s):  
Ice Detection

Certification and integration aspects of a primary ice detection system

2001 ◽  
Author(s):  
Darren Jackson ◽  
David Owens ◽  
Dennis Cronin ◽  
John Severson
Keyword(s):  
Detection System ◽  
Ice Detection

Use of X-Ray Computed Tomography for Ice Detection Applied to Organ Cryopreservation

2019 ◽  
Vol 17 (2) ◽  
pp. 119-128 ◽  
Author(s):  
Ariadna Corral ◽  
Reyes López ◽  
Marcin Balcerzyk ◽  
Ángel Parrado-Gallego ◽  
Isabel Fernández-Gómez ◽  
...  
Keyword(s):  
Computed Tomography ◽  
X Ray ◽  
X Ray Computed ◽  
Ice Detection

scholarly journals ICE DETECTION ON AIRPLANE WINGS USING A PHOTOGRAMMETRIC POINT CLOUD: A SIMULATION

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 183-189
Author(s):  
I. Aicardi ◽  
A. Lingua ◽  
L. Mazzara ◽  
M. A. Musci ◽  
G. Rizzo
Keyword(s):  
Point Cloud ◽  
Processing Time ◽  
Field Testing ◽  
Reference Surface ◽  
Steel Panel ◽  
Final Configuration ◽  
Geometric Reconstruction ◽  
Sensor Technique ◽  
Ice Detection ◽  
Hyperspectral Sensor

Abstract. This study describes some tests carried out, within the European project (reference call: MANUNET III 2018, project code: MNET18/ICT-3438) called SEI (Spectral Evidence of ice), for the geometrical ice detection on airplane wings. The purpose of these analysis is to estimate thickness and shape of the ice that an RGB sensor is able to detect on large aircrafts as Boeing 737-800. However, field testing are not available yet, therefore, in order to simulate the final configuration, a steel panel has been used to reproduce the aircraft surface. The adopted methodology consists in defining a reference surface and modelling its 3D shape with and without ice through photogrammetric acquisitions collected by a DJI Mavic Air drone hosting a RGB camera and processed by Agisoft Metashape software. The comparison among models with and without the ice has been presented and results show that it is possible to identify the ice, even though some noise still remains due to the geometric reconstruction itself. Finally, using 3dReshaper and Matlab software, the authors develop various analysis defining the operative limits, the processing time, the correct setting up of Metashape for a more accurate ice detection, the optimization of the methodology in terms of processing time, precision and completeness. The procedure can certainly be more reliable considering the usage of the hyperspectral sensor technique as future implementation.

Magnetically coupled Planar Microwave Resonators for Real-Time Saltwater Ice Detection

2021 ◽  
pp. 113245
Author(s):  
Katherine Luckasavitch ◽  
Ryan Kozak ◽  
Kevin Golovin ◽  
Mohammad H. Zarifi
Keyword(s):  
Real Time ◽  
Microwave Resonators ◽  
Ice Detection
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