Design method of tiny fault estimation system used for CRH2 high-speed railway inverter

A technology of fault estimation and design method, applied in design optimization/simulation, instrumentation, calculation, etc., can solve the problem that high-speed train expert knowledge cannot be fully obtained, cannot be expressed, and cannot effectively use knowledge-based fault diagnosis scheme.

Inactive Publication Date: 2018-09-28
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, due to the complex operating environment and the influence of unknown noise, it cannot be represented by an exact function
Furthermore, expert

Method used

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  • Design method of tiny fault estimation system used for CRH2 high-speed railway inverter
  • Design method of tiny fault estimation system used for CRH2 high-speed railway inverter
  • Design method of tiny fault estimation system used for CRH2 high-speed railway inverter

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Embodiment Construction

[0032] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0033] The patent of this invention is a design method for a micro-fault estimation system for CRH2 high-speed rail inverters. This implementation case includes the following steps:

[0034] Phase 1: Building Offline Data Models

[0035] 1) Collect the steady-state operation data of high-speed trains and preprocess the offline data;

[0036] 2) Calculate the score matrix of the subspace where the preprocessed data is located;

[0037] 3) Determine the nonlinear relationship between the fault amplitude and the fault indicator, so as to facilitate online diagnosis;

[0038] Phase II: Online Fault Estimation

[0039] 4) Process online data;

[0040] 5) Calculate the online score vector;

[0041] 6) Use the fault estimator to estimate the existing fault amplitude.

[0042] According to example below, verify the superiority of the present invention.

[0043] In the...

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Abstract

The invention discloses a design method of a tiny fault estimation system used for a CRH2 high-speed railway inverter, and belongs to the field of fault diagnosis and fault estimation. The method specifically comprises the following steps of in a first stage, building an offline data model: 1) collecting steady state running data of a high-speed train and preprocessing offline data; 2) calculatinga score matrix of a rotation subspace where the preprocessed data is located; and 3) determining a nonlinear relationship between a fault estimation value and a fault magnitude, thereby performing online estimation; and in a second stage, performing online fault estimation: 4) processing online data; 5) calculating online score vectors; and 6) estimating the existent fault magnitude by utilizinga fault estimator. The invention designs a multivariate statistical analysis-based estimation method. The method combines Kullback Leibler divergence and a neural network approximation method, can realize relatively accurate fault estimation, and has a certain advantage in sensitivity to tiny fault estimation.

Description

technical field [0001] The invention relates to a design method of a micro-fault estimation system for a CRH2 type high-speed rail inverter, belonging to the field of fault diagnosis and fault estimation. Background technique [0002] Due to its high efficiency, high-speed railway has developed rapidly in the past two decades. As the executive mechanism of the motor, the inverter is one of the important equipment of the high-speed rail EMU. Generally, the control law is formed by collecting the information of its sensors. Typically, since VFDs have a direct interaction with the working environment, their sensors are susceptible to faults, which can lead to abnormal operation of the motor, loss of traction and, in severe cases, even emergency braking. Therefore, it is necessary to realize real-time detection and fault estimation of sensor faults to improve the reliability of high-speed railways. [0003] In recent decades, there have been many studies on fault detection and...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20
Inventor 陈宏田姜斌吴建萍
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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