scholarly journals A Model Based System Commissioning Approach for Nuclear Facilities

2021 ◽  
Vol 13 (19) ◽  
pp. 10520
Author(s):  
Alan Gaignebet ◽  
Vincent Chapurlat ◽  
Gregory Zacharewicz ◽  
Victor Richet ◽  
Robert Plana
Keyword(s):  
System Engineering ◽  
Added Value ◽  
Nuclear Facility ◽  
Nuclear Facilities ◽  
Good Practices ◽  
General Methodology ◽  
Model Based ◽  
Critical Phase ◽  
Theoretical Foundations ◽  
Do So

Commissioning is considered as a critical phase in the delivery of a Nuclear Facility (NF) as it is the first stage in the authorization of the NF to be exploited. Most of the nuclear projects start to overrun costs during commissioning mainly since this phase is not addressed properly and is affected by many issues from previous phases (Design, Procurement, and Construction). This article proposes a general methodology to prepare and realize the commissioning activities. Using models to do so improves communication and removes ambiguities between stakeholders. It also formalizes and clarifies the commissioning organization and activities prior to any implementation. It also allows for capitalizing and sharing the experience from previous projects, by drawing references models and good practices patterns. The so-called Model Based commissioning method is elaborated around concepts, languages, processes, tools, and patterns inspired from Model Based System Engineering (MBSE) principles and practices. The theoretical foundations will be supported by results from nuclear facilities demonstrating the added value.

scholarly journals A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

2021 ◽  
Author(s):  
Daniel Auge ◽  
Julian Hille ◽  
Etienne Mueller ◽  
Alois Knoll
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Industrial Applications ◽  
Spiking Neural Networks ◽  
Biologically Inspired ◽  
Power Efficient ◽  
Signal Encoding ◽  
Uniform Nomenclature ◽  
Theoretical Foundations ◽  
Do So

AbstractBiologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes.

scholarly journals USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS

2021 ◽  
Vol 1 ◽  
pp. 3369-3378
Author(s):  
Stephan Husung ◽  
Christian Weber ◽  
Atif Mahboob ◽  
Sven Kleiner
Keyword(s):  
Systems Engineering ◽  
Development Process ◽  
Added Value ◽  
System Level ◽  
System Failure ◽  
Model Based ◽  
Continuous Use ◽  
Model Based Systems Engineering ◽  
Consistent Support ◽  
Modelling Approaches

AbstractModel-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.

scholarly journals Evaluation of the Added Value of Regional Ensemble Forecasts on Global Ensemble Forecasts

2012 ◽  
Vol 27 (4) ◽  
pp. 972-987 ◽  
Author(s):  
Yong Wang ◽  
Simona Tascu ◽  
Florian Weidle ◽  
Karin Schmeisser
Keyword(s):  
Horizontal Resolution ◽  
Added Value ◽  
Ensemble Prediction ◽  
Small Scale ◽  
Initial Condition ◽  
Weather Variables ◽  
Single Model ◽  
Ensemble Forecasts ◽  
Model Based ◽  
Surface Weather

Abstract The regional single-model-based Aire Limitée Adaptation Dynamique Développement International–Limited Area Ensemble Forecasting (ALADIN-LAEF) ensemble prediction system (EPS) is evaluated and compared with the global ECMWF-EPS to investigate the added value of regional to global EPS models. ALADIN-LAEF consists of 16 perturbed members at 18-km horizontal resolution, while ECMWF-EPS includes 50 perturbed members at 50-km horizontal resolution. In ALADIN-LAEF, the atmospheric initial condition uncertainty is quantified by using blending, which combines large-scale uncertainty generated by the ECMWF-EPS singular-vector approach with small-scale perturbations resolved by the ALADIN breeding technique. The surface initial condition perturbations are generated by use of the noncycling surface breeding (NCSB) technique, and different physics schemes are employed for different forecast members to account for model uncertainties. The verification and comparison have been carried out for a 2-month period during summer 2007 over central Europe. The results show a quite favorable level of performance for ALADIN-LAEF compared to ECMWF-EPS for surface weather variables. ALADIN-LAEF adds more value to precipitation forecasts and has greater skill for 10-m wind and mean sea level pressure results than does ECMWF-EPS. For 2-m temperature, ALADIN-LAEF forecasts have larger spread, are statistically more consistent, but also have less skill than ECMWF-EPS due to the strong cold bias in the ALADIN forecasts. For the upper-air weather parameters, the forecast of ALADIN-LAEF has a larger spread, but the forecast skill of ALADIN-LAEF is from neutral to slightly inferior compared to ECMWF-EPS. It may be concluded that a regional single-model-based EPS with fewer ensemble members could provide more added value in terms of greater skill for near-surface weather variables than the global EPS with larger ensemble size, whereas it may have limitations when applied to upper-air weather variables.

Weaving social reality around the grandparent/great-grandparent with dementia to maintain relational presence: A verbal and non-verbal dementia interactions model

Dementia ◽  
2017 ◽  
Vol 18 (6) ◽  
pp. 2244-2260 ◽  
Author(s):  
Anca M Miron ◽  
Ashley E Thompson ◽  
Alexandria R Ebert ◽  
Susan H McFadden
Keyword(s):  
Focus Groups ◽  
Social Interactions ◽  
Perspective Taking ◽  
Family Members ◽  
Physical Space ◽  
Social Reality ◽  
Psychological Processes ◽  
Model Based ◽  
State Of Mind ◽  
Do So

We proposed a dementia interactions model based on analyses of five focus groups with grandchildren of grandparents with dementia. Interactions with their grandparent with dementia motivate grandchildren to maintain connection with a grandparent who is relationally present. To do so, they weave a social reality around the grandparent. To help the grandparent remain connected, grandchildren engage in scripts and routines and employ three intertwined psychological processes: perspective taking, vigilance, and knowledge about the grandparent's preferences, personality, state of mind, and context. Grandchildren use four relationship anchors to help the grandparent remain relationally present: family members, meaningful sensory objects and activities, physical space/context, and themselves. Implications for improving social interactions with close others with dementia are discussed.

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