Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for diagnosing fault of static frequency converter based on BP neural network

A BP neural network and static frequency converter technology, applied in the field of thyristors, can solve problems such as failure of static frequency converters

Inactive Publication Date: 2020-10-23
STATE GRID XINYUAN +1
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Damage or failure of any thyristor on the static frequency converter will cause the failure of the static frequency converter

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 fault of static frequency converter based on BP neural network
  • Method for diagnosing fault of static frequency converter based on BP neural network
  • Method for diagnosing fault of static frequency converter based on BP neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0049] Such as figure 2 Shown is an embodiment of a method for diagnosing faults of a static frequency converter based on a BP neural network in the present invention, wherein the static frequency converter includes a fully-controlled rectifier bridge, a smoothing reactor and a fully-controlled inverter bridge, and the fully-controlled rectifier bridge The AC side of the full-controlled rectifier bridge is used as the three-phase input terminal of the static inverter. One end of the DC side of the full-control rectifier bridge is connected to one end of the DC side of the full-control inverter bridge through a smoothing reactor, and the other end of the DC side of the full-control rectifier bridge is directly connected to the full-control rectifier bridge. The other end of the DC side of the inverter bridge; the AC si...

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 judgment method for diagnosing the fault type of a static frequency converter based on a BP neural network technology. Thyristor fault types are classified in detail. Based on the general structure of a static frequency converter, the invention provides the following diagnosis steps when the static frequency converter has a fault: establishing a BP neural network, diagnosing thyristors in a machine bridge and a network bridge of the static frequency converter, and finding out a fault thyristor. The provided convenient method for diagnosing the thyristor fault of the static frequency converter can effectively save manpower and material resources and maintain the safety and stability of a unit taking the static frequency converter as a core.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of power electronic devices, uses BP neural network technology, and diagnoses faulty thyristors according to the output voltages of a full-control rectifier bridge and a full-control inverter bridge when the thyristors of static frequency converters fail. Background technique [0002] With the increasing capacity of the power grid, more and more pumped storage power plants are used, which are responsible for peak shaving and valley filling, and emergency backup. The power generation state of the pumped storage power station is the same as that of the ordinary hydroelectric generator set. When it is in the pumping state, the generator set works in the motor state, and its fast and stable start-up reduces the impact on the power grid. A set of public utilities is installed in the power station. The advanced static frequency conversion device is the best solution in terms of technology and economy. ...

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
IPC IPC(8): G01R31/00G01R31/26G01R31/27G01R19/04G06N3/04
CPCG01R31/00G01R31/263G01R31/27G01R19/04G06N3/044G06N3/045
Inventor 陈月营张法石祥建王志晏飞肖海波刘腾张博刘彦勇
Owner STATE GRID XINYUAN