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

Method for detecting fault of train suspension system on basis of robust observer

A technology of robust observer and suspension system, applied in railway vehicle testing, etc., can solve the problems of not being able to obtain the temporary motion state instability of the running part, and not knowing the failure of the suspension system

Inactive Publication Date: 2012-11-07
BEIJING JIAOTONG UNIV
View PDF7 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Secondly, in some train fault detection systems where the detection object includes the running part of the vehicle (the running part of the train includes the primary and secondary suspension systems), the detection content is simply whether the bogie’s motion state is stable or not, and the vibration Acceleration indicators or vibration frequency domain indicators equivalent values ​​are used as illustrations, and it is not clear whether the suspension system is faulty
At the same time, the running state of the running part of the train is not only directly affected by the performance of the train suspension system, but also the line conditions, vehicle load conditions, and train operating conditions all play a very important role in it. Causes of temporary motor instability

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 detecting fault of train suspension system on basis of robust observer
  • Method for detecting fault of train suspension system on basis of robust observer
  • Method for detecting fault of train suspension system on basis of robust observer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] Such as figure 1 Shown is the structural frame diagram of the fault detection system of the present invention, and the fault detection system includes: sensors, used to obtain the acceleration information of the train at various positions; a data acquisition unit, responsible for connecting the sensors and the data preprocessing unit, and sending the simulated The signal is converted into a format that can be recognized by the data preprocessing unit, and sent to the data preprocessing unit with a unified communication protocol to realize the acquisition and conversion of the measurement data of each sensor; the data preprocessing unit is logically responsible for the data management of each signal acquisition unit and vehicle network management, and receive the data sent by the data acquisition unit, perform coordinate transformation, high-pass filtering, and secondary integral calculation on the data, and then transmit the preprocessing results to the fault diagnosis u...

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 relates to a method for detecting a fault of a train suspension system on the basis of a robust observer. The method comprises the following steps of: a, carrying out modeling on the train suspension system and designing the corresponding fault detection robust observer; b, utilizing an acceleration sensor and a gyroscope to respectively acquire acceleration signals and angular speed signals of a vehicle body and front and rear bogies when a train operates; c, carrying out treatment of anti-aliasing filtering, high-pass filtering, quadratic integration and the like on the acceleration signals and only carrying out anti-aliasing filtering and high-pass filtering on the angular speed signals to obtain a system output; d, utilizing the fault detection robust observer to carry out processing on the system output to obtain a residual output; e, according to a residual sequence, applying a MCUSUM (Multivariable Cumulative Sum) method to calculate a fault detection index; and f, by a fault diagnosis expert system, generating a fault alarm threshold value in real time and judging whether to give an alarm. According to the detection method, when the suspension system has a small fault, the fault can be detected in real time, the alarm is given and the possibility of false alarm and failure in report of a fault detection system can also be reduced.

Description

technical field [0001] The invention relates to a fault detection method for a train suspension system, in particular to a fault detection method for a train suspension system based on a robust observer. Background technique [0002] The train suspension system is located between the train body and the bogie and between the bogie and the wheelset, and consists of a large number of different components, including coil springs, dampers, air springs, etc. The suspension system of a rail vehicle is usually divided into a primary system (located between the wheel set and the bogie) and a secondary system (located between the bogie and the car body), and it is also divided into horizontal and vertical according to its influence on the motion state of the train. system. On the one hand, the suspension system supports the car body and the bogie; on the other hand, the suspension system also plays the role of buffering the wheel-rail force caused by track irregularities, controlling...

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): G01M17/10
Inventor 魏秀琨柳海贾利民郭淑萍汪煜婷郭昆林帅
Owner BEIJING JIAOTONG UNIV
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