Integrated Intellectual Approach to the Diagnostics of Defects of Operations of Induction Motors

Larin, Vitaliy; Chichikalo, Nina; Kardo, Ali Muhammad; Larina, Katerina

doi:10.1109/csit49958.2020.9322004

Cited by 1 publication

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6). The task of the SCADa is to provide information on the essence of transient processes in the OCP, on the result of recognising the existing SceN, and SN in the OCP operation, forming recommendations for operating personnel, emergency files for analysing the accident, commands for localizing accidents, blocking personnel wrong actions, diagnosing malfunctions [33,34], [35,36] and monitoring the current the state of the OCP with and without the participation of operating personnel [37,38], [39,40]. It is implemented graphically on the SCADa screen in the form of a widget with filled active places on semantic messages prepared to help operational personnel.…”

Section: C) Application Of the Methods At The Final Hierarchical Level "Scada"mentioning

confidence: 99%

Detecting development scenarios of dynamic events in electric power networks smart-grid Part1 “Method”

Sivokobylenko¹,

Nikiforov²,

Zhuravlov³

2021

AAIT

View full text Add to dashboard Cite

A method for constructing a semantic S-detector for the senior hierarchical level of pattern recognition in dynamic objects is proposed. The S-detection method is based on a uniform synthesis of all hierarchically subordinate detectors and information preparation schemes, based on the tasks of the upper hierarchical level of recognition of scenarios for the development of processes in an object. The method can be used to solve problems of relay protection, emergency control automation, to identify rare events in impulse, short-term input signals when implementing the concept of developing of electric power smart-grid. The synthesis of the Sdetector of scenarios for the development of transient processes was the result of the development of a structural-information SImethod for processing information components. A mathematical SI-model is presented that allows you to control the mutual correspondence of the structure of the formation tree in the object and the device recognition tree. The task is to improve the stability of the device recognition algorithm. The Part 1 describes the theoretical provisions of the application of the recognition method. It is proposed to unify the trees for generating recognition scenarios in the industry, similar to the IEEE high-voltage network diagrams. The S-detector algorithm based on the formation of a semantic signal and on the selective search for the required amount of information for automatic decision-making is presented. The facts of the appearance of elementary information events in the input signals of the detector are controlled by Ξ,H-selectivity windows, which are sequentially opened depending on the previous development of events. The block diagram of the S-detector of the scenario is presented, which can be synchronous, multichannel, with a high signal processing speed, without losing rapidly changing information when slow and infraslow information is detected. Combines useful properties of instantaneous and inertial detection algorithms. The output of the S-detector is a series of responses with different weights. This allows elementary detectors to be combined into sequential chains at different hierarchical levels of recognition. Part 2 provides an example of the application of the scenario detection method to solve the problem of increasing the stability of the operation of a selective protection relay against single-phase earth faults based on medium-frequency signals in 6-35 kV networks with an arc suppression Petersen’s coil. The results of modelling the operation of the S-detector algorithm on the signals of real emergency files recorded by high-frequency recorders of transient processes in the network are presented.

show abstract

Section: C) Application Of the Methods At The Final Hierarchical Level "Scada"mentioning

confidence: 99%

Detecting development scenarios of dynamic events in electric power networks smart-grid Part1 “Method”

Sivokobylenko¹,

Nikiforov²,

Zhuravlov³

2021

AAIT

View full text Add to dashboard Cite

show abstract

Integrated Intellectual Approach to the Diagnostics of Defects of Operations of Induction Motors

Cited by 1 publication

References 4 publications

Detecting development scenarios of dynamic events in electric power networks smart-grid Part1 “Method”

Detecting development scenarios of dynamic events in electric power networks smart-grid Part1 “Method”

Contact Info

Product

Resources

About