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

Method for diagnosing standard deviation of detail coefficients of faults of power converter of switched reluctance motor

A technology of switched reluctance motors and power converters, which is applied in the direction of measuring electric variables, AC motor control, instruments, etc., and can solve the problems of stoppage, fault diagnosis methods that cannot be directly applied, and failure to make fault type judgments, and achieve good results. Good engineering application value, reliable effect of fault diagnosis

Active Publication Date: 2013-12-18
CHINA UNIV OF MINING & TECH
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the fault protection measures for power converters stay at the level of overcurrent, overvoltage, and overheating protection for power devices. This is only effective when the fault develops to a certain extent and affects the characteristics of external measurable variables. Due to the system structure and The difference in parameters can only roughly set the fault protection threshold, and cannot make a judgment on the type of fault
The severe nonlinear characteristics of the switched reluctance motor system itself and the unique control method also bring great difficulty to the research of system fault diagnosis. The traditional power converter fault diagnosis method cannot be directly applied to the switched reluctance motor power converter. middle

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
  • Method for diagnosing standard deviation of detail coefficients of faults of power converter of switched reluctance motor
  • Method for diagnosing standard deviation of detail coefficients of faults of power converter of switched reluctance motor
  • Method for diagnosing standard deviation of detail coefficients of faults of power converter of switched reluctance motor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] An embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0015] Such as figure 1 As shown, it is the main circuit of the three-phase switched reluctance motor double-switch power converter. Each phase of the three-phase double-switch power converter has two main switches and two freewheeling diodes, A phase, B phase, and C phase Connect in parallel to the positive pole "+" and negative pole "-" of the power supply. Among them, one end of the upper main switch S1 of phase A is connected to the positive pole "+" of the power supply, the other end of the upper main switch S1 is connected to one end of the winding of phase A, one end of the lower main switch S2 is connected to the negative pole "-" of the power supply, and the other end of the lower main switch S2 is One end is connected to the other end of the A-phase winding, one end of the upper freewheeling diode VD1 is connected to the positive pole "+" of the ...

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 standard deviation of detail coefficients of faults of a power converter of a switched reluctance motor. The standard deviation sigma of the detail coefficients is calculated by detecting the phase current transient values of the power converter of the switched reluctance motor, the standard deviation sigma is used as fault characteristic quantity, and master switch short-current faults of the power converter of the switched reluctance motor are diagnosed by adopting a curve of the standard deviation sigma of the detail coefficients of the phase currents of the power converter of the switched reluctance motor in a whole rotating speed range or a whole turning moment range. The method for diagnosing the standard deviation of the detail coefficients of the faults of the power converter of the switched reluctance motor is suitable for switched reluctance motor power converters of multiple phases and multiple topological structures, accurate in diagnosis for short-current faults, and good in engineering application value.

Description

technical field [0001] The invention relates to a method for diagnosing the standard deviation of short-circuit fault detail coefficients, in particular to a method for diagnosing the standard deviation of short-circuit fault detail coefficients of power converters suitable for switched reluctance motors with various phases. Background technique [0002] Although the research on fault detection and diagnosis technology for switched reluctance motor system has gradually attracted extensive attention of researchers at home and abroad, it started late and achieved few results. Most researches on fault diagnosis of switched reluctance motor systems are based on qualitative theoretical analysis or comparative analysis of system fault state and normal state performance. The power converter is an important part of the switched reluctance motor system, and it is a place where failures occur frequently. Most of the fault protection measures for power converters stay at the level of ...

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 Applications(China)
IPC IPC(8): G01R31/02
CPCG01R31/3277G01R31/42H02P25/092G01R31/343G01R31/52G01R31/50
Inventor 陈昊韩国强王星
Owner CHINA UNIV OF MINING & TECH
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