Turning repair method based on rail transit vehicle wheel set service life statistical model

Abstract

The invention discloses a turning repair method based on a rail transit vehicle wheel set service life statistical model. The method comprises the following steps: firstly, establishing a rim size model and a wheel diameter size model; correcting the rim size model and the wheel diameter size model by using a filtering and clustering algorithm to obtain a typical model curve, and combining the rimsize model and the wheel diameter size model to obtain a wheel set life cycle prediction model; establishing a relation model between the rim abrasion rate and the rim thickness size and between thewheel diameter abrasion rate and the rim thickness size; selecting different wheel flange turning repair thresholds and wheel flange recovery thresholds to randomly simulate a Gaussian process, performing iterative simulation on changes of the wheel flange thickness size and the wheel diameter size, and obtaining expected turning repair times and expected life cycle length according to the wheel set full life cycle model; and finally, in combination with the wheelset life cycle prediction model and the relationship between the wheelset wear rate and the rim size, hybrid turning repair optimization is carried out. The wheel set is high in practicability and low in cost, and the service life of the wheel set is effectively prolonged.

Description

technical field [0001] The invention belongs to the technical field of safety engineering in the rail transit field, in particular to a turning repair method based on a statistical model of the wheel set life of a rail transit vehicle. Background technique [0002] In the entire rail transit operation system, the train wheel set is an important factor that affects the safety of the locomotive as the running part of the locomotive. The operating lines of urban rail transit are different from general-purpose iron wheels. Urban rail transit has many curves, small curvature radius, and short distance between stations, so the wheel-rail contact relationship of subway vehicles is more complicated. With the increase of the operating mileage, when the wheel wear rate exceeds a certain limit, it may even cause driving safety accidents such as derailment, which greatly hinders the development of urban rail transit. [0003] At present, domestic and foreign rail transit scholars have ...

AI Technical Summary

Problems solved by technology

However, this turning repair strategy only uses the NSGA II algorithm for a single wheel set to propose an optimal wheel set turning repair strategy. It is difficult to obtain a typical wheel set size life model due to interference from factors such as axle difference, frame difference, and vehicle difference of different wheel sets. more difficult to implement

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