Turning repair decision optimization method for rail transit vehicle wheel sets

Abstract

The invention relates to a turning repair decision optimization method for rail transit vehicle wheel sets. The turning repair decision optimization method includes: subjecting eight wheel of one carriage to wheel set abrasion data preprocessing; establishing wheel set abrasion data driving models such as a wheel diameter abrasion model, a rim thickness abrasion model and a wheel set turning repair proportion coefficient distribution model; performing Monte Carlo simulation on rail transit vehicle wheel set abrasion and turning repair to acquire expected wheel set service life under the combination of different rim thickness preventing turning repair value and turning repair recovery value. By means of a genetic algorithm in the simulation, the expected rim thickness value and wheel diameter value after one specific turning repair are optimized with the optimization objectives that the wheel diameter loss is as low as possible and is possibly close to the rim thickness recovery value after turning repair; optimal turning repair decisions, namely the optimized rim thickness preventing turning repair value and turning repair recovery value, can be finally analyzed according to the expected simulated service life of the wheel sets.

Description

technical field [0001] The patent of the present invention relates to a decision-making optimization method for wheel-set repairing of rail transit locomotives and vehicles, in particular to a decision-making optimization method for wheel-set repairing of rail transit locomotives and vehicles based on a wheel-set wear data-driven model and Monte Carlo simulation. Background technique [0002] Entering the 21st century, my country's urban rail transit (commonly known as subway) and railway systems have entered a stage of rapid development. With the rapid development of railways and urban rail transit, higher requirements must be put forward for the maintenance and life management of related equipment such as trains and rails. The wheel set is known as one of the three major consumable parts of subway vehicles. The tread diameter and rim thickness exceed the limit faults caused by the tread and rim wear, as well as wheel scratches, tread cracks, and tread defects caused by abn...

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Problems solved by technology

Domestic researchers such as Wang Ling (Wang Ling, Yuan Hua, Na Wenbo, Chen Xiai, Li Yuntang, Wheelset Turning Repair Strategy Optimization and Remaining Life Prediction Based on Wear Data Driven Model, Systems Engineering Theory and Practice, 31(6), 1143-1152, 2011.; Xu Hong, Yuan Hua, Wang Ling, Na Wenbo, Xu Wenbin, Li Yuntang, Gaussian Process-Based Modeling of Metro Vehicle Wheelset Wear and Optimization of Turning Repair Strategy, Chinese Journal of Mechanical Engineering, 46(24 ), 88-95, 2010) Aiming at the wheel set wear and repairing problems of Guangzhou subway vehicles, the corresponding wear model and the repairing decision optimization method are given, but these results only consider the turning repair decision optimization problem from the perspective of a single wheel set , cannot be directly applied to solve the optimization problem of turning repair decision for eight wheels of the same car in practice

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