A Gearbox Fault Diagnosis Method Based on Infrared Thermal Imaging

A technology of infrared thermal imaging and fault diagnosis, which is applied in the testing of machine gear/transmission mechanism, testing of mechanical parts, testing of machine/structural parts, etc. It can solve problems that are difficult to be widely applied, and achieve high recognition rate and intuitive recognition rate Reliable, large detection area effect

Inactive Publication Date: 2020-02-14
NORTHWESTERN POLYTECHNICAL UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, current fault diagnosis methods based on infrared thermograms mainly rely on expert experience and are difficult to be widely applied.

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 Gearbox Fault Diagnosis Method Based on Infrared Thermal Imaging
  • A Gearbox Fault Diagnosis Method Based on Infrared Thermal Imaging
  • A Gearbox Fault Diagnosis Method Based on Infrared Thermal Imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] see Figure 1-Figure 4 , the specific method steps are described as follows:

[0046] 1. Collect infrared heat map

[0047] Step 1: Install the gear failure test piece and debug the gearbox system;

[0048] Step 2: initialize the temperature of the mechanical failure simulation test bench to room temperature (18.9° C. in the present invention);

[0049]Step 3: Let the experimental platform preheat at a speed of 3000rpm, and observe the highest temperature of the IRT map (near the gear mesh) through the infrared thermal imager;

[0050] Step 4: When the highest temperature reaches a given temperature (58°C in this test), collect infrared images;

[0051] Step 5: Cool down the mechanical failure simulation test bench to room temperature;

[0052] Step 6: Select another gear fault type and repeat the above steps to collect the IRT diagram under the current working condition until the end of the experiment.

[0053] 2. Convolutional neural network

[0054] CNN is a fe...

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 provides a gear box fault diagnosis method based on infrared thermal imaging. Compared with the traditional vibration diagnosis technology, the method has the advantages of being non-contact, large in detection area, high in identification rate, intuitive and reliable. The infrared thermal imaging diagnosis technology comprises firstly collecting an infrared thermogram of the gear box by utilizing the infrared thermal imager; and then extracting fault characteristics by utilizing a convolutional neural network; and finally automatically identifying different fault types in the gear box by inputting the fault characteristics into a Softmax classifier.

Description

technical field [0001] The invention relates to the field of digital signal processing, in particular to a gearbox fault diagnosis method based on infrared thermal imaging. Background technique [0002] Gearboxes are the most basic components for power transmission, and are widely used in various fields such as ships, mines, petrochemicals, and railway transportation. Gearboxes usually work in low-speed, heavy-load and harsh environments, and are prone to various forms of damage such as wear and cracks. If the failure is not found in time, it may trigger a chain reaction, resulting in the shutdown of the entire transmission system, resulting in major economic losses or catastrophic accidents. Therefore, it is of great significance to carry out research on gearbox fault diagnosis technology to ensure its safe operation. [0003] At present, the fault diagnosis methods of gearbox mainly include fault diagnosis technology based on vibration signal, fault diagnosis technology ...

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): G01M13/02G01N25/72
CPCG01M13/021G01N25/72
Inventor 李永波王先芝杜小强朱文金魏禹司书宾方俞富
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products