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Evolution of Complexity Index Framework to Include Comparison of Test Programs Completeness
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Comparative Analysis of Spacecraft Anomalies using Complexity Indexes: a Top-Down Approach
No full textMAIN RESULTS OF A “EUROPEAN CIS-LUNAR INTERPLANETARY PORT FOR SPACE EXPLORATION” PROJECT WORK ACTIVITY 2007-2008
No full textComparison of heterogeneous space projects through complexity indexes, for technical and managerial evaluations
No full textLearn as much as possible from the past is the main purpose of modern knowledge-management approaches which allows continuous improvement of new products design and verification applied methods. In the space domain, data acquired from successful and unsuccessful missions should be aggregated to highlight effective and poor practices, basing on the comparison between actual results of several projects. The first step to reach this objective is to collect relevant data and gather them in a structured information system, as the ESA Model and Test Effectiveness Database (MAT€D) experience learns. The second step is to analyze and compare the historical information to understand better trends and effectiveness of design and verification philosophies, but space systems may be extremely different one from another, and the comparison requires a normalization method able to compare "apples and oranges", assigning to each system its complexity level, according to the objective of the single analysis that can be devoted to risk, cost and schedule evaluations. Rough methods have been used since now, using the spacecraft mass or the number of electronic parts as normalization factors, but they are not able to describe with good approximation the real complexity of the system and specialize it for the specific purpose. This problem has been driving the joint Thales Alenia Space Italia- Politecnico di Torino Research Group for the last years. The objective is the transition in the ESA Model and Test Effectiveness Database (MAT€D) analysis from the number of Electronic Parts (EP) to complexity indexes, as variable to normalize the data from different spacecraft programs, including technical, industrial and operational dimensions of the complexity. The objective of this paper is to present the latest definition of the methodology for the calculation of complexity indexes for space, based on the functional analysis of a generic space project, validated preliminarily with scientific satellites and pressurized modules data, but conceived to be used also for exploration systems. The methodology is then applied to eleven heterogeneous spacecrafts whose data are contained in MAT€D (including earth observation satellites, planetary probes and manned pressurized modules) for the comparison of ground (AIT) and flight anomalies and of cost evaluation. Copyright ©2010 by Thales Alenia Space Italia S.p.A
Nuove metodologie di raccolta ed analisi dati relative a malfunzionamenti in orbita: stato dell’arte e futuri sviluppi
No full textSEEDS-The international postgraduate master program for preparing young systems engineers for space exploration
No full textSpacE Exploration and Development Systems (SEEDS) initiative originated from Politecnico di Torino and Thales Alenia Space Italy in 2005. It aimed at establishing a postgraduate international master course in space exploration and development systems, to offer an opportunity to young engineers to get prepared for the future of Europe in space exploration. SEEDS project has been shared with Supaero Toulouse in France and with University of Bremen (together with the Center of Applied Space Technology and Microgravity, ZARM) in Germany. SEEDS course comprises of two different steps in sequence: an initial learning phase and a project work phase. The distinguishing feature of SEEDS is without any doubt the project work phase, which includes the preparatory work and the conceptual design activities, performed in three European sites to develop a limited number of building blocks identified during the preparatory work. The first year of activity started in November 2005. Five years of activities have passed since then and five project works have been successfully completed, dealing with various space exploration themes. The paper focuses on the description of SEEDS master course, in terms of master course structure, applied methodology and students team organization, and on the main results achieved, in terms of project work activities and development of future space workforce. The positive experience of five years of SEEDS is brought to evidence and lessons learned are discussed in view of SEEDS continuation
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