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

Fault diagnosis method and fault diagnosis system

A fault diagnosis and fault technology, applied in the direction of measuring devices, instruments, measuring electricity, etc., can solve the problems of insufficient fault diagnosis basis and low fault diagnosis accuracy.

Active Publication Date: 2009-07-22
SIEMENS NUMERICAL CONTROL
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, the above-mentioned system mainly obtains the fault diagnosis result based on the similarity between the value of the characteristic quantity in the state information and the fault feature, so the basis for fault diagnosis is not comprehensive enough, so that the accuracy of fault diagnosis is not high

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
  • Fault diagnosis method and fault diagnosis system
  • Fault diagnosis method and fault diagnosis system
  • Fault diagnosis method and fault diagnosis system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] 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 with reference to the accompanying drawings and examples.

[0061] When determining the similarity between the state information obtained by the equipment monitoring system and each fault, the present invention not only considers the similarity between each characteristic value in the state information and the corresponding fault feature of each fault, but also considers the The correlation between the type of each characteristic quantity and each fault. Among them, the degree of correlation represents the sensitivity of different characteristic quantity types to different faults.

[0062] figure 1 It is an exemplary flow chart of the fault diagnosis method in the embodiment of the present invention. Such as figure 1 As shown, the fault diagnosis method in this embodiment includes the following steps:

[006...

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 failure diagnosis method and a failure diagnosis system. When determining the similarity between each failure and status information obtained by an apparatus monitor system, the invention not only takes the similarity between each characteristic quantity value in the status information and the relative failure characteristic of each failure into consideration, but also takes the degree of association between each characteristic quantity type and each failure into consideration, wherein, the degree of association is indicative of the sensitivity of distinct characteristic quantity types to distinct failures. Since the degree of association between the characteristic quantity type and the failure can be obtained in accordance with historic failure diagnosis course or with statistics of pre-implemented multiple failure experiments, the obtained degree of association can objectively and accurately reflect the sensitivity of the distinct characteristic quantity types to the distinct failures such that the similarity between the status information and the failure is capable of more accurately giving a reflection of the similarity between the known failure and the failure represented by the status information, therefore the failure diagnosis acquires higher accuracy.

Description

technical field [0001] The invention relates to fault diagnosis technology, in particular to a fault diagnosis method and a fault diagnosis system. Background technique [0002] The existing equipment monitoring system can monitor the status of various equipment, such as various feedback signals and operating parameters of the equipment through sensor measurement, and these data are converted into various characteristic quantities (Characteristic Quantity, CQ). The converted set of at least one characteristic quantity is called status information. Fault diagnosis personnel then judge the current state of the equipment based on their professional knowledge and experience, as well as the characteristic quantities in the state information, that is, judge whether the equipment has a certain type of fault at present, so as to realize fault diagnosis. [0003] However, the above-mentioned fault diagnosis process mainly depends on the experience of the fault diagnosis personnel an...

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 Applications(China)
IPC IPC(8): G01R31/00
Inventor 邢建辉胡喜时文刚王青岗
Owner SIEMENS NUMERICAL CONTROL
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