Mission-Critical Systems Design Framework

Houliotis, Kyriakos; Oikonomidis, Panagiotis; Charchalakis, Periklis; Stipidis, Elias

doi:10.25046/aj030215

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…To reduce the jitter and the latency of engine control networks, the integration of DDS with Time-Sensitive Networking (DDS-TSN), which will have the jitter on a level not more as few microseconds, can be used. The concept of integrating NGVA with Land defensive aid suite (DAS) architecture [5,6] or the Helicopter Integrated Defensive Aids System (HIDAS) can be taken as an example of the transformation NGVA into a multi-network environment (Figure 2). This combined architecture of multiple networks transforms a collection of controllers, switches, sensors, and protective equipment such as effectors, actuators, into a comprehensive defensive suite system.…”

Section: General View Of the Decs Architecturementioning

confidence: 99%

The Concept of Networked Distributed Engine Control System of Future Air Vehicles

Sliusar¹

2021

Preprint

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This report is considered different aspects of the concept of the networked distributed engine control system (DECS) of future air vehicles. These aspects include the following: the structure of multiple networks similar to NATO Generic Vehicle Architecture (NGVA), the role of Artificial Intelligence (AI) in DECS, and the use Augmented Reality (AR) as Human-Machine Interface between AI and pilots. Deployment of AI solutions for monitoring equipment in on-board infrastructure can be provided on physical or virtual servers and in the clouds. In this case, it is possible to use various methods of alerting the pilot and ground personnel on the basis of AR. The use of AI allows covering an unlimited set of scenarios, to provide an assessment of the likelihood of equipment failure, classification alarm is normal, and recognition of the development of defects. To collect Big Data from sensors and the pre-processing of this data before a machine learning (ML) procedure it is proposed to form data sets with the help of the face-splitting matrix product. To decrease the time of reaction of Neural Networks it has been suggested the implementation of advanced tensor-matrix theory on the basis of penetrating face product of matrices. Other important results of the report are a possible version of the AR data format for DECS and a proposal about the use of non-orthogonal frequency discrete multiplexing (N-OFDM) signals to data transfer via fibre optics.

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Section: General View Of the Decs Architecturementioning

confidence: 99%

The Concept of Networked Distributed Engine Control System of Future Air Vehicles

Sliusar¹

2021

Preprint

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“…During the past 60 years, many frameworks [6][7][8], procedures [4,9] and systems [10] were created to support designing [11] and managing the complexities of the MCSs. These efforts have had major effects on improving the three aspects of MCSs: reliability, resiliency and recovery.…”

Section: Ai In Mcssmentioning

confidence: 99%

Intelligent Systemic/Systematic Innovation and Its Role in Delivering Improvement and Change in the Design of Mission Critical Systems

Fassihi¹,

Ghaffari²

2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

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Mission critical systems (MCS) are complex nested hierarchies of systems, subsystems and components with defined purpose, characteristics, boundaries and interfaces, working in harmony to deliver vital organisational functionalities. Upgrading MCS performance is inevitable when capability enhancement is required or new technologies emerge. Improving MCS however is considered with certain degrees of reluctance due to their sensitive role in organisations and the potential disruptive impact of unexpected consequences of change. Innovation in MCS often appears in small steps that affect the entire system due to their highly interdependent structures. Effective management of innovation introduction in complex systems require systemic/systematic processes that involve process management and collective analysis, scoping, decision-making and R&D which relies on effective information sharing. This approach should run throughout the system and must include all aspects and stakeholders, utilising the skills and knowledge of all involved. This chapter describes the basic concepts and potential approaches that could be utilised to build intelligent systemic/systematic and collaborative environments for MCS innovation. Advances in ICT technologies provide an opportunity to access the wider sphere of knowledge and support the systemic innovation processes. Adopting systemic approaches increases process efficacy, leading to more reliable solutions, shorter development lead times and reduced costs.

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