International Journal of Railway Research
Iran University of Science & Technology
Thu, Nov 21, 2024
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Volume 11, Issue 1 (6-2024)
IJRARE 2024, 11(1): 37-48 |
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Rezvani M A, Niksai F. Pitting growth detection in the gear transmission system of a locomotive using statistical features. IJRARE 2024; 11 (1) :37-48
URL: http://ijrare.iust.ac.ir/article-1-342-en.html
URL: http://ijrare.iust.ac.ir/article-1-342-en.html
School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract: (333 Views)
The reliability of power transmission systems in locomotives directly impacts the availability and safety of trains. The failure of gears, like pitting on teeth, is a common failure that can affect vehicle dynamics and reduce the safety and reliability of the system. Based on frequent visual inspections, detecting early-stage pitting is important to prevent more damage. The purpose of this research is to investigate the possibility of pitting detection in the early stage. For this purpose, the dynamic response of the gear system with pitting defects in different scenarios is evaluated and compared.
The dynamic interaction between the gear system and other elements, such as the traction motor and wheelset, is regarded based on the operation condition. Also, the time-variant mesh stiffness is considered the primary internal excitation in the dynamics of the gear system.
An analytical method based on the potential energy is used. The effect of pitting growth in different scenarios on the dynamic response in both time and frequency domains is studied. Some statistically representative features are computed for different scenarios. Features most sensitive to failure that enable the detection of gear tooth pitting and its propagation are introduced. The theoretical results are compared and validated with a laboratory test setup.
The dynamic interaction between the gear system and other elements, such as the traction motor and wheelset, is regarded based on the operation condition. Also, the time-variant mesh stiffness is considered the primary internal excitation in the dynamics of the gear system.
An analytical method based on the potential energy is used. The effect of pitting growth in different scenarios on the dynamic response in both time and frequency domains is studied. Some statistically representative features are computed for different scenarios. Features most sensitive to failure that enable the detection of gear tooth pitting and its propagation are introduced. The theoretical results are compared and validated with a laboratory test setup.
Keywords: Dynamic modelling, Locomotive gear transmission system, Statistical feature, Pitting growth
Type of Study: Research |
Subject:
Rolling Stock
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