Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for diagnosing minor faults of crh5 type high-speed rail inverters

An inverter and high-speed rail technology, which is applied in the field of diagnosing minor faults of CRH5 high-speed rail inverters, can solve the problems that the change characteristics are not very obvious and is not suitable for minor fault diagnosis, and achieve accurate diagnosis results, low false alarm rate, Detect precise effects

Active Publication Date: 2018-10-16
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the minor fault is between no fault and fault, its change characteristics are not very obvious, which requires higher sensitivity to the fault diagnosis algorithm, and the original algorithm is not suitable for the diagnosis of minor faults

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for diagnosing minor faults of crh5 type high-speed rail inverters
  • A method for diagnosing minor faults of crh5 type high-speed rail inverters
  • A method for diagnosing minor faults of crh5 type high-speed rail inverters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] A method for recovering from tail spin by controlling the precursor vortex and a flow control actuator proposed by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0061] A method for diagnosing minor faults of CRH5 type high-speed rail inverters, comprising the following steps:

[0062] Phase 1: Building Offline Data Models

[0063] 1) According to the principle of the actual CRH5 high-speed rail traction system inverter, build a simulation system platform;

[0064] 2) Collect the IGBT data in the system platform, which is recorded as X;

[0065] 3) Preprocess the above-mentioned collected data or offline storage data, specifically: first separate according to the period, then divide the data of each period according to the modality, and finally standardize the data to convert it into the expected is 0, data with a variance of 1;

[0066] 4) Perform feature extraction on the preprocessed data to establish a mod...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for diagnosing the minor faults of a CRH5 high-speed railway inverter. A multi-modal kernel principal component analysis method is provided. Data acquired by a sensor is preprocessed. A system model on a normal condition is obtained. Whether an electrical system has a fault is detected by processing online data according to the characteristic of the electrical system. Specific data is processed and analyzed. Acquired data has two dimensionalities. Two dimensionalities including period and modal are added to original data so that the original data is projected onto a four-dimensional space. Thus, the original nonlinear data is more accurately distributed in a high-dimensional space. The characteristic of each mode is extracted according to a nonlinear characteristic extraction method. Compared with a linear PCA algorithm and a nonlinear KPCA algorithm, the method is more precise in detection of the minor faults of a CRH5 high-speed railway inverter, more accurate in diagnosed results, lower in missing report rate, and more advantageous.

Description

technical field [0001] The invention relates to the field of high-speed rail fault detection and diagnosis, in particular to a method for diagnosing minor faults of CRH5 type high-speed rail inverters. Background technique [0002] With the extensive market demand and the advancement of science and technology, the high-speed rail technology at home and abroad has developed rapidly in the past two decades and has been successfully applied in practice. With its strong advantages, high-speed rail has attracted extensive attention and attention from the international intelligent transportation field. At present, high-speed rail has gradually become a means of transportation for the public. [0003] However, frequent failures of the high-speed rail system have drawn increasing attention. When a fault occurs, it will affect the performance of the high-speed rail operation, and even cause irreversible serious consequences, such as property damage and casualties. Therefore, this i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/00
CPCG01R31/008
Inventor 陈宏田姜斌陆宁云冒泽慧
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com