Paper
1 June 1992 Aircraft accident construction set: performance engineering applied to accident reconstruction
James W. Blanchard
Author Affiliations +
Proceedings Volume 1668, Visual Data Interpretation; (1992) https://doi.org/10.1117/12.59663
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
Abstract
For some time aircraft accident investigation has been a reverse engineering procedure. Failure analysis has taken a strict engineering approach, disregarding many of the alternatives relating to cause. As aircraft become automated, many relating factors will need to be considered in order to build an accurate reconstruction of an accident. The Aircraft Accident Construction Set will provide the investigator with the opportunity to investigate 'What if?' questions relating to causal factors. The system addressed both the vehicle and the human elements of performance. Significant integration of engineering principles and human factors probability data enhance the outcomes assessment. The pictorial display provides a near real- time image of the vehicle as supported by the engineering data, rather than the more traditional approach of line graphs and interpolative tables. This enables the investigator to consider far more data at a given time than in the past. Interaction between the workstation and the investigator is through a menu system derived from data tables and displayed as ICON symbology. Relational database operations and a user toolbox round out the system. Presentation of this system will provide a fundamental understanding of the capabilities of the system, and an actual air carrier accident will be examined briefly.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James W. Blanchard "Aircraft accident construction set: performance engineering applied to accident reconstruction", Proc. SPIE 1668, Visual Data Interpretation, (1 June 1992); https://doi.org/10.1117/12.59663
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KEYWORDS
Visualization

Systems modeling

Data modeling

Data conversion

Visual analytics

Aerodynamics

Databases

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