Unlock instant, AI-driven research and patent intelligence for your innovation.

Failure recognition method based on engineering machinery

A technology for engineering machinery and fault identification, which is applied to measuring devices, instruments, etc., can solve the problems of low automatic fault identification rate, stability and reliability cannot be guaranteed, and achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2015-03-25
陈海波
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can quickly solve the remote diagnosis of construction machinery faults to a certain extent, but the automatic fault recognition rate is too low, and the stability and reliability cannot be guaranteed

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
  • Failure recognition method based on engineering machinery

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0019] Described a kind of fault identification method based on engineering machinery, its fault identification steps are as follows:

[0020] 1) Form the list of common faults of construction machinery into fault set A;

[0021] 2) Define the internal parameters and external parameters that can be measured by frequency converters or sensors in construction machinery as feature set B, and for each feature element b in feature set B i set the threshold;

[0022] 3) For feature element b in feature set B i with fault element a in fault set A i Do correlation analysis, calculate the correlation coefficient between the two, each fault element a i Corresponding to one or more feature elements b i , and take the correlation coefficient as the feature element b i The attribute value of is stored in the original feature set B 0 , become the ori...

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 failure recognition method based on engineering machinery. The failure recognition method includes following steps that (1) common failures in the engineering machinery are listed to form a failure set A; (2) the failure collection A is defined as a characteristic set B, and each characteristic element bi of the characteristic set B is provided with threshold value; (3) characteristic elements bi of the characteristic set B and failure elements ai of the failure set A are analyzed in a correlation mode; (4) a frequency converter or a sensor which is internally arranged in the engineering machinery is utilized to monitor an intrinsic parameter and an external parameter of the engineering machinery in a real-time mode, namely, the characteristic elements bi; (5) failure recognition is conducted. The characteristic elements which are collected by the frequency converter or the sensor in the process of operation of the engineering machinery are adopted to be used as a breakthrough point, correlation of the fault elements are built, correlation coefficient is confirmed, and the correlation coefficient is used as an index of optimization of failure recognition. Efficiency and accuracy of the fault recognition are greatly improved, recognition rate of the fault is up to 80%, and the accuracy rate is up to 85%.

Description

technical field [0001] The invention relates to a fault identification method, in particular to a fault identification method based on engineering machinery. Background technique [0002] Construction machinery is a relatively complex electromechanical-hydraulic integration system. With the rapid development of science and technology, construction machinery is gradually becoming high-speed, high-power, high-reliability, and high-intelligence. In this process, due to the relatively complicated operating conditions of construction machinery and the relatively harsh working environment, it is inevitable that various failures will occur from time to time. At this time, it is usually necessary to transport the equipment to the repair shop designated by the manufacturer, and professional technicians will diagnose and deal with the fault with the help of testing instruments. This not only wastes precious time, but also increases the cost of equipment maintenance. At this time, thi...

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): G01D21/02
Inventor 陈颖刘先国陈海波
Owner 陈海波