A method for evaluation and early warning for train axle properties based on mathematical models

A technology of train axles and models, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of complex causes, axle temperature alarm phenomena that cannot be timely and effectively identified, paid attention to, checked or later tracked, and cannot be timely Accurately grasp the changes in component performance and other issues

Active Publication Date: 2017-03-22
CRRC CHANGCHUN RAILWAY VEHICLES CO LTD
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Problems solved by technology

[0007] In order to solve the lack of quantitative indicators to reflect the overall performance of the axle, and the train axle temperature has many influencing factors, complex causes, and very difficult laws, it is difficult to rely on the maintenance of whether the attribute of the axle temperature alarm signal is a short-term false alarm. Rapid identification and judgment based on the experience of personnel; some axle temperature alarm phenomena that have no obvious fault symptoms temporarily but indicate potential hidden dangers cannot be identified, paid attention to, che

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  • A method for evaluation and early warning for train axle properties based on mathematical models
  • A method for evaluation and early warning for train axle properties based on mathematical models
  • A method for evaluation and early warning for train axle properties based on mathematical models

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Embodiment Construction

[0082] The present invention will be described in further detail below in conjunction with the examples.

[0083] The method for evaluating and early warning of train axle performance based on a mathematical model in the present invention comprises the following steps:

[0084] Step 1. Data screening before establishing a mathematical model of axle temperature change on the first day of the last 30 days of axle operation

[0085] Step 1.1: On the first day of the last 30 days of axle operation, the external ambient temperature M of the train is collected separately by the on-board sensors of the three parameters d (d represents the number of nodes in the ambient temperature sampling time, d is a natural number), driving speed V j (j represents the number of time nodes for driving speed sampling, and j is a natural number), the axle temperature T of the axle i (i represents the number of axle temperature sampling time nodes, and i takes a natural number) to generate the exter...

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Abstract

The invention provides a method for evaluation and early warning for train axle properties based on mathematical models and belongs to the field of methods for evaluation and early warning of high speed train axle properties. The method comprises the steps of establishing an axle temperature variation mathematical model for axle operation in each of the latest 30 days, and obtaining a group of parameters for evaluating the axle properties with respect to each model; performing smoothing processing on each group of parameters, and performing abrupt change detection and trend detection for the axle properties based on the smoothed property parameters. The qualitative method can assist train maintainers in accurately and reliably judging whether axle temperature alarm signals belong to short-period false alarms capable of self-recovery, and further provide important reference bases for maintenance decisions thereof.

Description

technical field [0001] The invention belongs to the field of evaluation and early warning methods for the axle performance of high-speed train sets, and in particular relates to a method for evaluating and early warning the performance of train axles based on a mathematical model. Background technique [0002] The TCMS (Train Control and Management System) train control and management system of high-speed EMUs has functions such as intelligent distributed information collection, storage, logic judgment, alarm indication and human-computer interaction. In addition to the axle temperature sensor data, other sensors are also used to collect and store the train running speed data and the vehicle external environment temperature data respectively. The axle temperature characteristics of the axle can reflect the performance of the axle to a certain extent, which is very important for judging the nature of the axle fault, but the existing TCMS system does not have the intelligent a...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/17G06F30/367G06F2119/04
Inventor 常振臣张海峰张妍陈君达
Owner CRRC CHANGCHUN RAILWAY VEHICLES CO LTD
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