Improving the Reliability and the Efficiency of the Oil-Filled Equipment by the Method of the Early Fault Forecasting

© 2020 IEEE. A method for monitoring the state of insulation of a transformer by its dielectric characteristic is proposed. Experimental studies have shown the operability of the device, and the pilot - industrial operation has confirmed its effectiveness. The introduction of the device in a number of electric networks has ensured an economic effect on one transformer worth 300,000 rubles by eliminating the failure

The increasing of the electric vehicle maneuverability, excluding disconnecting of the survey from the contact network

© 2020 IOP Publishing Ltd. All rights reserved. A technical solution is proposed that allows to increase the maneuverability of an electric vehicle without reducing the speed of movement, excluding the arbitrary disengagement of the current collector from the contact network at road junctions and turns

Approaches for Assessing the Polymetallic Impact on Humans in an Urbanized Area Using Neural Network Modeling Methods

© 2020, Springer Science+Business Media, LLC, part of Springer Nature. A methodology for assessing the response to the polymetallic effects of sensitive population groups has been developed using new information methods and data collection paths used for evaluation. The presented methodology takes into account the processes of polymeric intake, accumulation in the environment, and biosubstrates of the human body. The approach is presented for simultaneous accounting and analysis of dissimilar and heterogeneous data having different degrees of influence on the content of metals in human biosubstrates and the investigated components of the environment using neural self-organizing network Kohonen, implemented in the author’s model of neuronetwork filtration. A method of determining probability of exceeding the threshold values of metal concentrations in the objects under investigation using the risk theory is proposed. As the thresholds of these events, we have taken the median of continuous series of observations of metal concentrations. The facts of established exceeding the thresholds (events) were recorded in the whole set of observations, allocated in the form of clusters formed by the help of neural network classification. In this case, the spatial distribution of selected observations having specific address mappings forms the corresponding territorial zones, which can be used for operational and planned quality management of environmental components in an urbanized territory