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

Multi- sensor system fault self-diagnosis method

A multi-sensor, system failure technology, applied in the direction of instruments, measuring devices, measuring electricity, etc., can solve problems such as unreliability, increase system complexity and system construction cost, and achieve the effect of increasing reliability and simplifying system structure.

Inactive Publication Date: 2008-09-17
徐立军
View PDF0 Cites 66 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, an additional detection unit can be used to monitor the working status of the sensor, but this method not only increases the system complexity and system construction cost, but also introduces new unreliable factors, such as the working status of the detection unit

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
  • Multi- sensor system fault self-diagnosis method
  • Multi- sensor system fault self-diagnosis method
  • Multi- sensor system fault self-diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Such as figure 1 Shown, a kind of multi-sensor system fault self-diagnosis method of the present invention comprises the following steps:

[0024] Step 1, initialization, to determine the self-test status and number of sensors whose output signals are correlated in the known multi-sensor system, for a multi-sensor system including t sensors with correlated outputs, that is, the output signals are correlated The number of sensors is t. When t is greater than 3, go to step two; when t=3, go to step three; if t=2, go to step four.

[0025] Step 2, when the number of sensors used in the sensor system is t and t>3, first judge whether m sensors have undergone self-inspection, and 0

[0026] If there i...

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 fault self-diagnostics method for multi-sensor system, which includes the following steps: firstly, carrying out linear analysis to the information obtained from each sensor of the multi-sensor system having relativity output, and then comparing corresponding relativity and setting threshold value to realize sensor array fault self-diagnostics of the multi-sensor, wherein, as the number of the sensor having relativity output is two, fault-diagnostics of the sensor system can be realized thereby providing alarm information; as the number of the sensor having relativity output is three, fault-diagnostics of the sensor system can be realized thereby providing alarm information and isolating the fault to guarantee normal operation of the system. The effects of the invention are that self-diagnostics, alarm and fault-isolation for the sensor are realized and single system for monitoring sensor operation status is saved thereby simplifying the system configuration and increasing stability of the self-diagnostics system through using the relativity between the information measured by each sensor in the multi-sensor system and using multi-channel measuring signal.

Description

technical field [0001] The invention relates to a multi-sensor system fault self-diagnosis method, which can be used for fault diagnosis, alarm and fault isolation of the multi-sensor system. Background technique [0002] In the field of industrial monitoring, it is usually necessary to use a multi-sensor system to monitor the same measurement object or different measurement objects with correlations synchronously to achieve information complementation and fusion, to expand the application field of sensors, to broaden the measurement range, and to improve measurement accuracy. and robustness. However, the increase in the number of sensors not only increases the complexity of the measurement system, but also increases the failure probability of the system. Therefore, the above factors put forward higher requirements for the fault diagnosis capability of the multi-sensor system itself, so as to ensure the reliability of process monitoring and parameter measurement, and ensure...

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 徐立军李晓敏曹章
Owner 徐立军
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