Soft and hard fault diagnosis and self restoration method suitable for health monitoring

A health monitoring and self-healing technology, applied in the directions of diagnosis, diagnostic recording/measurement, medical science, etc., can solve the problems of inapplicability, large amount of data, and reduced damage identification accuracy, so as to improve performance, improve robustness and accuracy sexual effect

Inactive Publication Date: 2016-08-17
NANJING UNIV OF INFORMATION SCI & TECH
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] (4) Damage identification in health monitoring must be completed through the cooperation of multiple sensor nodes around, even if one of the nodes fails, the accuracy of damage identification will drop sharply
②Furthermore, existing soft fault diagnosis algorithms are often based on data exchange between nodes, but in structural health m

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
  • Soft and hard fault diagnosis and self restoration method suitable for health monitoring
  • Soft and hard fault diagnosis and self restoration method suitable for health monitoring
  • Soft and hard fault diagnosis and self restoration method suitable for health monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0065] The invention is aimed at diagnosing and repairing software and hardware faults of wireless sensor networks in the field of structural health monitoring, focusing on the design of self-repairing nodes of bionic hardware, the distinction between abnormal data and normal data of fault nodes, and soft fault diagnosis based on compressed sensing , fault diagnosis and repair mechanism of nodes and networks, etc., such as figure 1 Shown is the research content of the present invention. The invention adopts a research plan combining theoretical analysis and experimental verification. Firstly, the fault type of sensor nodes or networks in SHM is obtained, and the number of faulty nodes is compared with the critical threshold, so as to repair the nodes or part of the network respectively. The whole research route is as follows: figure 2 As s...

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 method for diagnosing and self-repairing soft and hard faults suitable for health monitoring. The method forms a routing link, the first node of the link is a cluster head, and the second node is a backup cluster head. It is proposed to use M.A‑B .The method proposed by Abdo extracts two characteristic parameters for node fault detection and structural damage identification respectively from the original collected data, so as to avoid the interference of faulty nodes on structural damage. The self-healing wireless sensor network structure system plans to adopt a hybrid hierarchical topology. In addition to the original sensor nodes, it is considered to set up monitoring nodes in the network to monitor the network status. The method applies the cooperative communication mechanism to the multi-stream transmission problem of the wireless network to realize the maximum throughput of the network and ensure the stability and reliability of the network.

Description

technical field [0001] The invention relates to a method for diagnosing and self-repairing soft and hard faults suitable for health monitoring, and belongs to the technical field of wireless sensor networks. Background technique [0002] The Structural Health Monitoring (SHM) system adopts the concept of intelligent material structure, uses the sensor / drive element network integrated in the structure to obtain information related to the health of the structure online in real time, and combines signals, information processing methods and The modeling method of material structure mechanics extracts characteristic parameters, identifies structural damage of materials (such as material cracks, holes, corrosion, etc.), and realizes self-diagnosis of structural health. The research on structural health monitoring is a cutting-edge research direction involving mechanics, machinery, communication, network and other scientific research fields. The research on structural health monito...

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): H04W24/02H04L29/08H04W84/18A61B5/0205
CPCH04W24/02A61B5/0205H04L67/12H04W84/18
Inventor 季赛陈振宇朱节中
Owner NANJING UNIV OF INFORMATION 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