Rotating machinery fault diagnosis and early warning method

A technology for rotating machinery and fault diagnosis, which is applied in the testing of mechanical components, testing of machine/structural components, and measuring devices. The effect of accuracy

Active Publication Date: 2019-03-22
XIAN UNIV OF SCI & TECH
View PDF8 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, only by comparing the characteristic parameters in the database to diagnose the fault, it is not possible to diagnose the fault type in a comprehensive, accurate and timely manner.

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
  • Rotating machinery fault diagnosis and early warning method
  • Rotating machinery fault diagnosis and early warning method
  • Rotating machinery fault diagnosis and early warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0034] see figure 1 , an on-line diagnosis and fault early warning method for rotating machinery. Multiple vibration acceleration sensors are installed on the detected rotating machinery, and the comprehensive analysis of vibration signals at different positions is used to determine the operating status of the rotating machinery to be detected and the probability that the fault type belongs to different faults. , after comparative analysis, carry out comprehensive diagnosis, the specific steps of this diagnosis method are:

[0035] If the detailed parameters of the main components of the rotating machinery are known (the main components of the rotating machinery include rotors, bearings and gear transmission systems), fine diagnosis is selected. The concept of fine diagnosis is to calculate the corresponding frequency formula through the known detailed parameters of t...

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 rotating machinery online diagnosis and fault early warning method. After the vibration data is collected, monitored rotating machinery is analyzed and processed immediately,the characteristic parameters of each component in the running process of the rotating machinery are obtained, and the characteristic parameters obtained are stored in classifications according to the monitoring time. Device failures are diagnosed by comparing the characteristic parameters in a created fault type database. On the basis, the method proposes the concept of rough diagnosis and finediagnosis, the concept of relative diagnosis is used in the field of fault diagnosis, in addition to comparing the fault type database to judge faults, the changes generated during the operation of adevice are also considered, the device status online monitoring and fault diagnosis and early warning functions are achieved, and the accuracy and reliability of the diagnosis are improved.

Description

technical field [0001] The invention relates to the field of vibration fault diagnosis of rotating machinery, in particular to a method for realizing self-warning of rotating machinery and diagnosing fault types of rotating machinery by using ideas of rough diagnosis, fine diagnosis and relative diagnosis combined with absolute diagnosis, and specifically relates to a method for diagnosis of rotating machinery faults and early warning methods. Background technique [0002] Rotating machinery is widely used in various industries, such as electric power, metallurgy, petrochemical, etc., all use large-scale rotating machinery. Condition monitoring and fault warning for large-scale rotating machinery are important means to ensure safe operation and efficient production of equipment. Regarding the fault diagnosis technology of mechanical equipment, the development of the current intelligent diagnosis is mostly achieved by analyzing the collected raw data and comparing the charact...

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): G01M13/00
CPCG01M13/00
Inventor 樊红卫杨一晴潘格格张超张勇强邵偲洁万翔张旭辉薛旭升姜俊英马宏伟董明韩磊
Owner XIAN UNIV OF SCI & TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap