Design and Verification of Simulation Data Generator for Rail Transit Switch Machine Oriented to Intelligent Operation and Maintenance
Journal Title: Urban Mass Transit - Year 2025, Vol 28, Issue 1
Abstract
[Objective] Difficulty in easily obtaining fault data of various rail transit equipment leads to insufficient data to support the research on machine intelligence algorithms such as fault diagnosis and prediction. In order to meet the urgent need of intelligent rail transit operation and maintenance for a large amount of training data, it is necessary to design and verify the simulation data generator (hereinafter abbreviated as SD generator) of rail transit switch machine. [Method] The characteristics of S700K type switch machine power curves under normal operation and gradual fault conditions are analyzed, and causes of the faults are discussed. By comparing two simulation data generation methods, a switch machine SD generator is designed based on the Borderline-Smote algorithm. Through building a platform for SD generator, and using the time series features of learning the power data by LSTM (long short-term memory) prediction model, three characteristics of the generated gradual fault power data such as the crest factor, standard deviation, and variance are tested. [Result & Conclusion] The LSTM prediction model trained on the power data generated by SD generator can predict the power change trend of the S700K type switch machine. The root mean square errors of crest factor, standard deviation, and variance calculated by the LSTM prediction model and the periodic replication method are 0.335 5, 0.023 9, and 0.024 1 respectively. The relatively small errors prove the authenticity and feasibility of SD generator.
Authors and Affiliations
Jinbai ZOU, Shiyan WEI, Jiang LIU, Quan SHA, Jie WU, Guoyi JI
Thoughts on Coordination and Minimization of Urban Rail Transit Systems
[Objective] Current urban rail transit system faces issues such as information silos and low coordination efficiency, which hinder the ability to meet the demands for digital transformation, high safety, and high autom...
Detection Method for Installation Effect of Switch Machine Movable/Static Contact Groups Based on Key Point Recognition
Objective Traditional methods for detecting the installation effect of SmMSC (switch machine movable/static contact) groups are slow, inaccurate, and susceptible to human errors. It is necessary to introduce a fast and h...
Virtual Formation Train Tracking Control Strategy Based on Sliding Mode Control
Objective In existing train control systems based on moving blocking, there is a significant safety margin between adjacent trains. This leads to a mismatch between the transportation efficiency of a segment and its actu...
Exploration of Urban Rail Transit Logistics Organization Models
Objective In order to make full use of the surplus capacity of urban rail transit and develop logistics services, with Shenzhen Metro as an example and based on the compatibility between urban distribution market and urb...
Research on Typical Faults and Optimization Solutions for Metro Train Logic Control Units
[Objective] As a replacement for relays, LCUs (logic control unit) are widely used in urban rail transit trains in China, participating in vehicle control alongside train networks and hardwired signals. Analyzing typic...