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Proceedings Paper

Image analysis for the fault diagnosis in a rocket engine failure
Author(s): Jianhua Li; Xin Liu; Hongjie Li; Ziwen Yu; Zhifeng Li; Jiaqi Liu
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Paper Abstract

Rocket engine is a complex and accident-frequently-occurring system. Its fault location and cause analysis is challenge. This paper analyze a rocket launching fault based on the video captured by a visible light camera on the rocket during the flight. The primary mission is to judge whether the suspected "flame" is caused by the combustion luminescence or the reflection of sunlight by the fluids. A qualitative and semi-quantitative analysis is carried out from the perspective of intensity and color. The possibility of self-luminescence is analyzed, and the spectrum from visible to near infrared of hydrogen and oxygen combustion is measured on the ground. The atomic radiation spectra of Na, Ka and other related metal elements are detected. The combustion brightness and atmospheric scattering brightness are compared. Combining with other prior information of the engine, it is considered that the brightness of the re-burning of hydrogen and oxygen should be lower than the atmospheric scattering brightness. The real color of the suspected "flame" area in the image is analyzed by using the characteristics of the white balance processing algorithm. By comparing with other similar gray scale and similar color images, it is inferred that the real color is white, and the yellowish of the “flame” is caused by compensation of the blue background by the automatic white balance of the camera. Based on the above analysis, it is inferred that the "flame" is caused by the reflection of sunlight by liquid particles, not by combustion, and the region should be located at the bottom of the rocket.

Paper Details

Date Published: 31 January 2020
PDF: 6 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142709 (31 January 2020); doi: 10.1117/12.2548972
Show Author Affiliations
Jianhua Li, National Key Lab. of Science and Technology on Test Physics & Numerical Mathematics (China)
Xin Liu, National Key Lab. of Science and Technology on Test Physics & Numerical Mathematics (China)
Hongjie Li, National Key Lab. of Science and Technology on Test Physics & Numerical Mathematics (China)
Ziwen Yu, Beijing Institute of Astronautical Systems Engineering (China)
Zhifeng Li, National Key Lab. of Science and Technology on Test Physics & Numerical Mathematics (China)
Jiaqi Liu, National Key Lab. of Science and Technology on Test Physics & Numerical Mathematics (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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