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

Microbiological fuel cell fault diagnosis method based on wavelet-transformation

A fault diagnosis and fuel cell technology, which is applied in the direction of fuel cells, fuel cell additives, fuel cell control, etc., can solve problems such as output performance degradation and abnormal operation, and achieve the effect of ensuring safe and reliable operation and high application value

Inactive Publication Date: 2016-02-24
SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In actual operation, the failure or failure of each component will affect its output, resulting in a decrease in output performance or failure to operate normally. Therefore, how to improve the safety of the system is the key to promoting the commercialization and industrialization of microbial fuel cells

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
  • Microbiological fuel cell fault diagnosis method based on wavelet-transformation
  • Microbiological fuel cell fault diagnosis method based on wavelet-transformation
  • Microbiological fuel cell fault diagnosis method based on wavelet-transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with examples.

[0030] In the experiment, after the system is powered on and the battery works continuously and stably, the voltage signal is collected under normal conditions and four fault conditions, and the sampling frequency is , collect data for 12 hours, and repeat sampling 7 times in each case.

[0031] see figure 1 , using three-level wavelet analysis tree structure.

[0032] Referring to Table 1, the frequency range represented by each frequency band after three layers of decomposition.

[0033] Referring to Table 2, the characteristic energy values ​​of each frequency band are obtained after calculation. After analysis, it can be seen that if the characteristic values ​​of the eight nodes are smaller than those without faults, it is fault one; if the node [3,0 ], [3,1], [3,2], [3,3], [3,4] eigenvalues ​​become 1.5 times that of no fault, nodes [3,5], [3,6] , [3,7] is magnified ten th...

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

A microbiological fuel cell fault diagnosis method based on wavelet-transformation is disclosed and relates to fuel cell fault diagnosis method. According to the method, output voltage signals acquired under different fault statuses are analyzed by utilizing frequency multiplication wavelet, reconstruction of high- and low-band signals is realized by calculating the wavelet coefficient , the fault-signal frequency-domain characteristic constant is extracted, and the main distribution status of the fault signals is displayed, and thus battery faults are diagnosed. The method is capable of realizing fault diagnosis of a microbiological fuel cell system, gives play to effects of early alarming, and reducing and avoiding fault scope, guarantees safe reliable operation of equipment, and possesses relatively high application value during actual engineering.

Description

technical field [0001] The invention relates to a fuel cell fault diagnosis method, in particular to a wavelet transform-based microbial fuel cell fault diagnosis method. Background technique [0002] In recent years, with the aggravation of environmental pollution and energy crisis, green and clean energy technology has received more and more attention. Microbial fuel cells can convert chemical energy into electrical energy under the action of microorganisms, achieving dual effects of sewage treatment and electricity production. Therefore, scholars have carried out extensive and in-depth research on it, and achieved certain results. The results are mainly concentrated in the experimental research, and a small part of the results are reflected in the modeling and simulation of the microbial fuel cell system. These literatures only study the operation of microbial fuel cells under normal conditions, and seldom perform failure analysis on them. In actual operation, the failu...

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): H01M8/04298
CPCH01M8/04671Y02E60/50
Inventor 颜闽秀郑小帆樊立萍薛竹隐
Owner SHENYANG INSTITUTE OF CHEMICAL TECHNOLOGY
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