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Calibration of a shock wave position sensor using artificial neural networks
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Decker, Arthur J. Weiland, Kenneth E. |
| Copyright Year | 1993 |
| Description | This report discusses the calibration of a shock wave position sensor. The position sensor works by using artificial neural networks to map cropped CCD frames of the shadows of the shock wave into the value of the shock wave position. This project was done as a tutorial demonstration of method and feasibility. It used a laboratory shadowgraph, nozzle, and commercial neural network package. The results were quite good, indicating that artificial neural networks can be used efficiently to automate the semi-quantitative applications of flow visualization. |
| File Size | 9874799 |
| Page Count | 21 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19930017812 |
| Archival Resource Key | ark:/13960/t59d1vp8n |
| Language | English |
| Publisher Date | 1993-05-01 |
| Access Restriction | Open |
| Subject Keyword | Charge Coupled Devices Shock Waves Image Processing Neural Nets Calibrating Heuristic Methods Flow Distribution Flow Visualization Feasibility Shadowgraph Photography Artificial Intelligence Interferometry Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
