Engineers who design hard real-time embedded systems express a need for several times the performance available today while keeping safety as major criterion. A breakthrough in performance is expected by parallelizing hard real-time applications and running them on an embedded multi-core processor, which enables combining the requirements for high-performance with timing-predictable execution.parMERASA will provide a timing analyzable system of parallel hard real-time applications running on a scalable multicore processor. parMERASA goes one step beyond mixed criticality demands: It targets future complex control algorithms by parallelizing hard real-time programs to run on predictable multi-/many-core processors. We aim to achieve a breakthrough in techniques for parallelization of industrial hard real-time programs, provide hard real-time support in system software, WCET analysis and verification tools for multi-cores, and techniques for predictable multi-core designs with up to 64 cores.
Processor technology is advancing from bus-based multicores to network-on-chip-based manycores, posing new challenges for operating system design. In this paper, we discuss why future safety-critical systems can profit from such new architectures. To make the potentials of manycore processors usable in safety-critical systems, we devise the operating system MOSSCA that is adapted to the special requirements prevailing in this domain. MOSSCA introduces abstractions that support an application developer in his work of writing safety-critical applications. Internally, MOSSCA runs in a distributed manner to achieve a high parallelism while still guaranteeing a predictable behaviour.
Purpose
The purpose of this paper is to analyze the effects of condition-based maintenance based on unscheduled maintenance delays that were caused by ATA chapter 21 (air conditioning). The goal is to show the introduction of condition monitoring in aircraft systems.
Design/methodology/approach
The research was done using the Airbus In-Service database to analyze the delay causes, delay length and to check if they are easy to detect via condition monitoring or not. These results were then combined with delay costs.
Findings
Analysis shows that about 80 percent of the maintenance actions that cause departure delays can be prevented when additional sensors are introduced. With already existing sensors it is possible to avoid about 20 percent of the delay causing maintenance actions.
Research limitations/implications
The research is limited on the data of the Airbus in-service database and on ATA chapter 21 (air conditioning).
Practical implications
The research shows that delays can be prevented by using existing sensors in the air conditioning system for condition monitoring. More delays can be prevented by installing new sensors.
Originality/value
The research focuses on the effect of the air conditioning system of an aircraft on the delay effects and the impact of condition monitoring on delays.
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