Validation of copula-based weather generator for maintenance model of offshore wind farm

This article discusses the aspect of modeling weather conditions in marine environment for implementation in the offshore wind farm domain. It is clear that harsh sea weather conditions influence many characteristics of any offshore installation. The accessibility to the infrastructure, maintenance procedures, failure ratios of components, energy provision levels, or utilization of vessels—are the examples of weather-related issues connected to the offshore wind industry. Regarding the growing popularity of digital twin methodology, authors present a novel view to generate weather data with copula-based method. The results obtained are compared to selected historical data and implemented into the maintenance model. The selected indicators of maintenance service are used for usability assessment of proposed copula-based method.

“Digital Twins” in Education: Prospects and Reality

This article is aimed at understanding the revolutionary in meaning and “digital” in essence metamorphoses in education and the prospects for the emergence of a new educational network reality based on them. The focus of the discussion is not so much on digital innovations and transformations in education as such, but rather on the need to understand the possible prospects and results of these social network changes and modifications brought to life by the next stage of the digital revolution in education. It is proposed to include a wide range of network technologies and methodologies among the latest scientific and technological innovations taking into account the fact that the main focus of the work is on understanding the process / result of implementing the methodology of “digital twins” in education. Despite the fact that the latter is only at the beginning of its implementation in a broad educational context, the paper raises the question of the social consequences of implementing the methodology for constructing the latest network reality of “digital twins in education”, which has all the chances in the future to become a unique network of networks of “digital twins” of various social actors in education. The article discusses the managerial potential of developing and the difficulties of implementing the digital twin methodology, the expected effects of implementing the latter in education, and the socio-technological consequences of converting this technology into a new network educational reality in the Russian Federation.

A Novel Inspection Technique for Electronic Components Using Thermography (NITECT)

Unverified or counterfeited electronic components pose a big threat globally because they could lead to malfunction of safety-critical systems and reduced reliability of high-hazard assets. The current inspection techniques are either expensive or slow, which becomes the bottleneck of large volume inspection. As a complement of the existing inspection capabilities, a pulsed thermography-based screening technique is proposed in this paper using a digital twin methodology. A FEM-based simulation unit is initially developed to simulate the internal structure of electronic components with deviations of multiple physical properties, informed by X-ray data, along with its thermal behaviour under exposure to instantaneous heat. A dedicated physical inspection unit is then integrated to verify the simulation unit and further improve the simulation by taking account of various uncertainties caused by equipment and samples. Principle component analysis is used for feature extraction, and then a set of machine learning-based classifiers are employed for quantitative classification. Evaluation results of 17 chips from different sources successfully demonstrate the effectiveness of the proposed technique.

IMPLEMENTATION OF A DIGITAL TWIN USING THE EXAMPLE OF STATE MONITORING OF THE REJOINT EXOSKELETON TRAINER

This article discusses the approbation of the digital twin methodology for condition monitoring and operation control within the framework of the lease, the Rejoint exoskeletal trainer used to restore muscle activity after injuries and strokes. To test the work, digital shadow technology is used, which makes it possible to obtain information about the state of the device in remote operation, which improves the quality. maintenance and increase the life of the device. The monitoring process includes the installation of additional sensors on the device, which allow collecting realtime data on the position of the nodes and the state of the device, transmitting data to the server for subsequent analysis. The obtained data allow carrying out, in addition to digital analytics, computer simulations, providing for analysis a digital copy of the actually operated device.

Asset vulnerability analytical framework and systems thinking as a twin methodology for highlighting factors that undermine efficient food production

Food production in developing countries has been highly susceptible to both climatic and non-climatic stressors. To identify the factors that prevent the rural poor from producing food efficiently, various participatory methodologies have been utilised. However, most methodologies have implicitly illustrated how vulnerable the livelihood activities of the poor are from an asset-based perspective. As assets give people the capability to thrive, we make a case for the asset vulnerability analytical framework (AVAF) and systems thinking (ST) as an integrated methodological framework. Data for this study were obtained from the rural Delta State of Nigeria through the principles and traditions of participatory research, which include Venn (or institutional) diagrams, transect walks, brainstorming, community risk mapping and historical timelines. Findings indicate that the AVAF, on the one hand, will make it relatively easier for development practitioners to effectively identify the factors that undermine the poor’s ability to maximise their livelihood assets during food production. The ST, on the other hand, will enable development practitioners to visualise the long-term consequences of the continued inability of the poor to maximise their livelihood assets. This article argues that the utilisation of both AVAF and ST will simplify the complex challenges of decision-making. This, in turn, will facilitate the implementation of appropriate policy interventions to protect the crucial assets necessary for the rural poor to produce their food efficiently and sustainably.