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

Intelligent diagnosis method, system and readable storage medium for roller failure

A technology of intelligent diagnosis and fault diagnosis, which is applied in the direction of transportation and packaging, conveyor objects, conveyor control devices, etc., can solve problems such as the inability to quickly and efficiently judge idler faults, reduce impact, improve accuracy, and improve safety sexual effect

Active Publication Date: 2022-04-08
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings in the prior art that the characteristics of the audio signal are not fully utilized, and the failure of the idler can not be judged quickly and efficiently, and to provide an intelligent diagnosis method, system and system for the fault of the idler that are easy to implement and efficient in calculation. Read the storage medium, combine the in-depth analysis of audio data with the intelligent identification and judgment of the intelligent classification and identification model, and realize the real-time diagnosis of idler faults

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
  • Intelligent diagnosis method, system and readable storage medium for roller failure
  • Intelligent diagnosis method, system and readable storage medium for roller failure
  • Intelligent diagnosis method, system and readable storage medium for roller failure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] like figure 1 As shown, this embodiment provides a method for intelligent diagnosis of idler faults, including the following steps:

[0043] S1, collect the audio data of the roller;

[0044] S2, extracting features of the audio data; the features of the audio data specifically include one or any combination of sharpness, noise annoyance, and speech interference level;

[0045] S3, the characteristics of the audio data are input into the trained intelligent classification recognition model, and the intelligent classification recognition model recognizes the running state of the idler;

[0046] S4, if the idler is running abnormally, perform alarm, monitoring or control operations; if the idler is running normally, complete the fault diagnosis of the idler at the current moment, and perform step S5;

[0047] S5, update the time, repeatedly execute step S1 to step S4, and carry out idler fault diagnosis at the next time.

[0048]This embodiment uses voice signal proces...

Embodiment 2

[0085] like figure 1 As shown, this embodiment provides an intelligent diagnosis system for idler faults, and the intelligent idler fault diagnosis system described below and the above-described intelligent diagnosis method for idler faults can be used for mutual reference.

[0086] see Figure 4 As shown, the system includes the following modules connected in sequence: data acquisition module, feature extraction module, intelligent classification recognition model module and monitoring module;

[0087] Exemplarily, the intelligent classification recognition model module is a support vector machine module.

[0088] In this embodiment, the data acquisition module is used to collect the audio data of the idler; the feature extraction module is used to extract the features of the audio data; the support vector machine module is used to identify the running state of the idler according to the features of the audio data; the monitoring module uses It is used to perform alarm, mon...

Embodiment 3

[0092] Corresponding to the above method embodiment, this embodiment also provides a readable storage medium, and a readable storage medium described below and a method for intelligent fault diagnosis of idler rollers described above can be referred to in correspondence with each other.

[0093] A readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for intelligent fault diagnosis of idler rollers in the foregoing method embodiments are realized.

[0094] Specifically, the readable storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like that can store program codes. readable storage media.

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 an intelligent diagnosis method, system and readable storage medium for idler faults. The method for intelligent diagnosis of idler faults includes the following steps: S1, collecting audio data of idlers; S2, extracting features of the audio data; the features of the audio data specifically include one or any of sharpness, noise annoyance, and speech interference level Combination; S3, the characteristics of the audio data are input into the trained intelligent classification recognition model, and the intelligent classification recognition model recognizes the running status of the idler; S4, if the idler is running abnormally, perform alarm, monitoring or control operations; The roller is running normally, complete the fault diagnosis of the idler at the current moment, and execute step S5; S5, update the time, repeat steps S1 to S4, and carry out the fault diagnosis of the idler at the next moment. The invention can realize the real-time diagnosis of idler faults, and is easy to implement with low cost and low algorithm complexity.

Description

technical field [0001] The invention relates to the field of fault diagnosis of conveyor idler rollers, in particular to an intelligent diagnosis method, system and readable storage medium for idler idler faults. Background technique [0002] Belt conveyors are used to transport materials and are an important part of the industrial production process. Belt conveyors can form efficient transportation lines, improve industrial production efficiency, and reduce labor intensity of workers. They are widely used in mining, electric power, docks and other industries. The belt conveyor runs under load for a long time, and various failures are prone to occur, such as: idler damage, belt tearing, etc. Among them, idler failure is one of the main reasons for belt conveyor downtime. The idler roller is an important running part of the belt conveyor, with a large number (a group of about 1 to 3 meters), which mainly plays the role of supporting the belt and bearing and reducing the run...

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): B65G43/06
Inventor 刘娟罗辛程雪峰黄学达
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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