Long-term maintenance of aeronautical information system on the base of statistical methods

• Autorzy: Kundler J.
• Języki publikacji: EN

Abstrakty

EN

The AIS service (Aeronautical Information Service) is an operational service for Air Traffic Control and the functionality via availability and data integrity is one of the critical factors for the AIS Centre. Particularly the ATC operation is highly depended from IT-Systems, technical infrastructure and there availability. The analysis shows the relevant standard requirements of availability and long-term maintenance to an AIS-System and their statistical analysis. The goal of statistical analysis is to investigate the observed parameter like availability and robustness of functionality and services. In the paper research of maintenance parameter based on the statistical analysis, and results for further operational use are discussed. The statistical analysis was used for planning process of the product management. The analysis of different incident types and their characteristics based on the collected statistical maintenance data over operational period from 2001 to 2006 was performed. The results of statistical investigation will be used for a more stabile forecasting of operational use of the system and get statistical information for the future trend and migration of a new system platform. The statistical analysis is shown the relevant requirements of ATC maintenance for long-term used IT Systems.

Słowa kluczowe

EN

long-term life cycle; maintenance and reliability atc systems; research incident characteristics; descriptive statistics

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2007
• Tom: nr 4
• Strony: 49--54
• Opis fizyczny: Bibliogr. 5 poz.

Twórcy

autor

Kundler J.

• PhD Student Transport and Telecommunication Institute TSI Riga, Latvia; Head of IT-Services DFS Deutsche Flugsicherung GmbH, Langen Am DFS-Campus 7, D-63225 Langen Tel. [phone]; Fax [phone],

Bibliografia

• [1] Backhaus, Erichson, Plinke, Weiber: Multivariante Analysemethoden, Eine anwendungsorientierte Einführung, Springer Verlag 1994.
• [2] Kreyzig E.: Statistische Methoden und ihre Anwendungen, Vandenhoeck&Ruprecht Verlag Göttingen 1975.
• [3] Rinne H.: Statistische Analyse multivatianter Daten, Oldenbourg Verlag München.
• [4] Statistical Software Program Statistica 6, StatSoft Inc 1984-2001, including Handbook.
• [5] Yatskiv I.: _ногомерный ст_тистический _н_лиз: кл_ссифик_ция и снижение р_змерности, TSI Transporta un Sakaru Instituts Riga 2003