A Fault Detection Method for Asynchronous Traction Motor

A traction motor and fault detection technology, which is applied in the field of fault diagnosis, can solve the problems of increased cost and unavoidable uncertainty of the asynchronous traction motor model, and achieve the effect of simple operation and guarantee of actual application requirements

Active Publication Date: 2017-06-16
TSINGHUA UNIV
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  • Abstract
  • Description
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Problems solved by technology

However, establishing a high-precision asynchronous traction motor model will increase the cost, and due to factors such as external interference, nonlinear model linearization, and unmodeled dynamics in actual production, the uncertainty of the asynchronous traction motor model is inevitable

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  • A Fault Detection Method for Asynchronous Traction Motor
  • A Fault Detection Method for Asynchronous Traction Motor
  • A Fault Detection Method for Asynchronous Traction Motor

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Embodiment Construction

[0030] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the process of how to apply technical means to solve technical problems and achieve technical effects in the present invention. It should be noted that, as long as there is no conflict, each embodiment and each feature in each embodiment of the present invention can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0031] Such as figure 1 As shown, the embodiment of the present invention provides a fault detection method for an asynchronous traction motor, the method comprising:

[0032] Step S101, step of building a model: building a discrete state space model of an asynchronous traction motor.

[0033] Specifically, first, the continuous state space model of the asynchronous traction motor in the α-β coordinate sys...

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Abstract

The invention discloses a fault detection method of an asynchronous traction motor, which belongs to the technical field of fault diagnosis, so that the fault detection method of the asynchronous traction motor of a high-speed railway train can still be accurately detected when the constructed model has uncertainty break down. The detection method of the asynchronous traction motor includes: building a model step: constructing a discrete state space model of the asynchronous traction motor; collecting data step: collecting output current data and input voltage data of the asynchronous traction motor at the current moment; fault detection step : Obtain the pre-stored state range of the asynchronous traction motor at the current moment, combine the output current data and the input voltage data, and use the discrete state space model to detect whether there is a fault in the asynchronous traction motor. This method is suitable for asynchronous traction motors of high-speed railway trains.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a fault detection method for an asynchronous traction motor. Background technique [0002] The traction drive control system of high-speed railway trains is one of the keys to the safe operation of high-speed railway trains, and it is also one of the main sources of high-speed train failures. Among them, the asynchronous traction motor of high-speed railway train is an important part in the traction drive control system. Regardless of any type of failure of the asynchronous traction motor of a high-speed railway train, it may cause a major accident on the high-speed railway train, causing huge losses to passengers and society. Therefore, it is urgent to improve the safety and reliability of the asynchronous traction motors of high-speed railway trains, so as to ensure the safe operation of high-speed railway trains and reduce the occurrence of accidents. [0003] Fault ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/34
Inventor 周东华何潇张峻峰张海峰
Owner TSINGHUA UNIV
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