Increasing the efficiency of railway rolling stock operation with induction traction motors due to implementation of the operational system for diagnostic condition of rotor
 
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1
Department of Electromechanics and Rolling Stock of Railways, State University of Infrastructure and Technologies (04071), Ukraine
 
2
Department of Automation and Computer-Integrated Transport Technologies, State University of Infrastructure and Technologies (04071), Ukraine
 
3
Department of Management, Public Administration and Administration, State University of Infrastructure and Technologies (04071), Ukraine
 
 
Submission date: 2024-04-01
 
 
Final revision date: 2024-07-25
 
 
Acceptance date: 2024-09-26
 
 
Online publication date: 2024-10-22
 
 
Publication date: 2024-10-22
 
 
Corresponding author
Sergey Goolak   

Department of Electromechanics and Rolling Stock of Railways, State University of Infrastructure and Technologies (04071), Ukraine
 
 
Diagnostyka 2024;25(4):2024404
 
KEYWORDS
TOPICS
ABSTRACT
Traction drives with vector control are widely used on mainline locomotives with induction motors. Traction motors can fail due to malfunctions that occur during the operation of locomotives. Real-time functional diagnostic systems are necessary to prevent the failure of traction motors. The implementation of such systems will allow to detect the occurrence of malfunctions in the traction motor at the initial stage and prevent the further development of the defect. In the work, a structural diagram of functional diagnostics for monitoring the condition of the rotor of an induction motor is proposed and an algorithm for its operation is developed.
FUNDING
The article was written within the framework of the Project 2022.01/0224 "Development of scientific principles for comprehensive improvement of safety, efficiency of operation and management of critical railway transport facilities in the conditions of post-war development of Ukraine" under the competition "Science for the reconstruction of Ukraine in the war and post-war periods" with the financial support of the National Research Foundation of Ukraine.
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