Model-based evaluation of avionics maintenance and logistics processes

Zerbe, Volker; Schulz, Mario; Zimmermann, Armin; Marwedel, Stephan

doi:10.1109/icsmc.2010.5641751

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…One of the goals of complex avionic system design is the definition of an optimal system architecture [1,2]. Looking at cabin systems, this includes questions such as where components should be placed in the fuselage, and where and how communication cables and other links should be routed.…”

Section: Introductionmentioning

confidence: 99%

Optimization of avionic system architectures

et al. 2011

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The complexity of modern systems requires a holistic approach to modeling and simulation during the design phases. This often includes an integrated model of the overall system (architecture, function, and environment) as well as a link-up of computer-aided design tools, because there are many occasions in which there are aspects of the system that cannot be described in one tool. The paper introduces a converter program that bridges the gap between a CAD tool and a system design tool. Nonfunctional information that is relevant for the simulation is extracted from the three-dimensional CAD model and automatically inserted into the behavioral model of the system design tool. The latter is used for performance evaluation and indirect design optimization.

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Section: Introductionmentioning

confidence: 99%

Optimization of avionic system architectures

et al. 2011

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Generalized cost functions of avionics breakdown maintenance strategy

Raza

Ulansky

Augustynek

et al. 2017

2017 IEEE Aerospace Conference

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Through-Life Maintenance Cost of Digital Avionics

Raza

Ulansky

2021

Applied Sciences

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Modern avionics can account for around 30% of the total cost of the aircraft. Therefore, it is essential to reduce the operational cost of avionics during a lifetime. This article addresses the critical scientific problem of creating the appropriate maintenance models for digital avionics systems that significantly increase their operational effectiveness. In this research, we propose the lifecycle cost equations to select the best option for the maintenance of digital avionics. The proposed cost equations consider permanent failures, intermittent faults, and false-positives occurred during the flight. The lifecycle cost equations are determined for the warranty and the post-warranty interval of aircraft operation. We model several maintenance options for each period of service. The cost equations consider the characteristics of the permanent failures and intermittent faults, conditional probabilities of in-flight false-positive and true-positive as well as the cost of different maintenance operations, duration of the flight, and some other parameters. We have demonstrated that a three-level post-warranty maintenance variant with a detector of intermittent faults is the best because it minimizes the total expected maintenance cost several folds compared to other maintenance options.

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Model-based evaluation of avionics maintenance and logistics processes

Cited by 3 publications

References 4 publications

Optimization of avionic system architectures

Optimization of avionic system architectures

Generalized cost functions of avionics breakdown maintenance strategy

Through-Life Maintenance Cost of Digital Avionics

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