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

Gearbox malfunction identification method based on sequential hypothesis test

A technology of fault state and hypothesis testing, applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve the problems of inaccurate target recognition, slow recognition speed, and low recognition efficiency.

Inactive Publication Date: 2019-08-23
WUHAN INSTITUTE OF TECHNOLOGY
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a gearbox fault state recognition method based on sequential hypothesis testing, which solves the problems of slow recognition speed, inaccurate target recognition and low recognition efficiency when fault detection and multi-fault recognition are performed

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
  • Gearbox malfunction identification method based on sequential hypothesis test
  • Gearbox malfunction identification method based on sequential hypothesis test
  • Gearbox malfunction identification method based on sequential hypothesis test

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0072] In the embodiment of the present invention, a gearbox fault state identification method based on sequential hypothesis testing is provided, such as figure 1 As shown, it mainly includes the following steps, step S1: preprocessing the extracted vibration signal by using the wavelet packet analysis method.

[0073] In the specific implementation, the appropriate wavelet packet function is selected, and the signal is decomposed into signals of different frequency bands by using different filters, and the wavelet reconstruction is carried out. The vibration signal extracted from the experiment ...

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 present invention discloses a gearbox malfunction identification method based on the sequential hypothesis test. The method is that an identification system carries out an adaptive intelligent query to a propagation channel with available data. Firstly, an extracted vibration signal is pretreated with the wavelet packet analysis method. Secondly, a sequence of kurtosis values of the extractedvibration signal is taken as a test object of the sequential probability ratio test. Then effective identification for the mode and gear crack degradation under four states of the gearbox is performedaccording to the sequential probability ratio test algorithm. Finally the gearbox vibration signal is subjected to the three-layer sequential ratio test by combining the sequential probability ratiotest and the root mean square error algorithm. The invention solves the problems of slow identification speed, inaccurate target identification and low identification efficiency in malfunction detection and multi-malfunction identification.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and in particular relates to a gear box fault state identification method based on sequential hypothesis testing. Background technique [0002] Gearbox is a common mechanical device used to transmit power and change speed. Due to its compact structure, high efficiency, long life and stable operation, it has been widely used in the field of mechanical transmission. However, due to long-term load operation and harsh service conditions, gears are prone to failure. Therefore, it is very important to monitor and diagnose the condition of the gearbox to ensure the normal operation of mechanical equipment. Gearbox fault diagnosis mainly includes gearbox fault information detection, feature extraction and state recognition. Among them, extracting the fault features of the gearbox is the key and difficult point to realize the fault diagnosis. [0003] Existing mechanical fault diagnosis...

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): G01M13/022
CPCG01M13/022
Inventor 陈汉新柯耀范东亮王琪黄浪苗育茁黄文健杨柳
Owner WUHAN INSTITUTE OF TECHNOLOGY
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