Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293070945> ?p ?o ?g. }
Showing items 1 to 40 of
40
with 100 items per page.
- W4293070945 abstract "To ensure the safe operation of aircraft, regular endoscopy of the engines is mandatory. Since the blade stages are particularly susceptible to defects, they must be inspected especially frequently. In the process, a worker must inspect each blade individually. All findings must be carefully documented and assigned to the respective blade. Since there are no individual markings to identify the blades, the operator must count all blades as they pass through the endoscope image. Although electric rotary devices with automatic blade counting are available for some engines, manual counting is often necessary. Simultaneously inspecting and counting blades is tedious and error-prone. We present a novel algorithm for automatic blade counting during jet engine inspection in this paper. The algorithm’s central part is a Pearson correlation of individual video frames as the blades pass before the endoscopes during turning. Adaptive thresholding of the correlation function is used to count the blades. Rotation direction and speed are determined using the Farneback method of optical flow. By using correlation instead of classical image features, the algorithm is highly robust to metallic reflections and smooth blade surfaces without significant image features. In addition, the algorithm is robust to different rotation speeds and directions. Compared to existing approaches, the algorithm is robust and universally applicable for counting engine blades on almost any engine without the need for customization." @default.
- W4293070945 created "2022-08-26" @default.
- W4293070945 creator A5052224154 @default.
- W4293070945 creator A5067551547 @default.
- W4293070945 creator A5084862505 @default.
- W4293070945 date "2022-05-31" @default.
- W4293070945 modified "2023-09-24" @default.
- W4293070945 title "Robust counting of engine blades in aircraft engine video endoscopy" @default.
- W4293070945 doi "https://doi.org/10.1117/12.2618504" @default.
- W4293070945 hasPublicationYear "2022" @default.
- W4293070945 type Work @default.
- W4293070945 citedByCount "0" @default.
- W4293070945 crossrefType "proceedings-article" @default.
- W4293070945 hasAuthorship W4293070945A5052224154 @default.
- W4293070945 hasAuthorship W4293070945A5067551547 @default.
- W4293070945 hasAuthorship W4293070945A5084862505 @default.
- W4293070945 hasConcept C127413603 @default.
- W4293070945 hasConcept C171146098 @default.
- W4293070945 hasConcept C178802073 @default.
- W4293070945 hasConcept C41008148 @default.
- W4293070945 hasConceptScore W4293070945C127413603 @default.
- W4293070945 hasConceptScore W4293070945C171146098 @default.
- W4293070945 hasConceptScore W4293070945C178802073 @default.
- W4293070945 hasConceptScore W4293070945C41008148 @default.
- W4293070945 hasLocation W42930709451 @default.
- W4293070945 hasOpenAccess W4293070945 @default.
- W4293070945 hasPrimaryLocation W42930709451 @default.
- W4293070945 hasRelatedWork W1968587065 @default.
- W4293070945 hasRelatedWork W2025797634 @default.
- W4293070945 hasRelatedWork W2036808173 @default.
- W4293070945 hasRelatedWork W2055210187 @default.
- W4293070945 hasRelatedWork W2176392010 @default.
- W4293070945 hasRelatedWork W2349347303 @default.
- W4293070945 hasRelatedWork W2542932817 @default.
- W4293070945 hasRelatedWork W2900363363 @default.
- W4293070945 hasRelatedWork W49138369 @default.
- W4293070945 hasRelatedWork W65522987 @default.
- W4293070945 isParatext "false" @default.
- W4293070945 isRetracted "false" @default.
- W4293070945 workType "article" @default.