Fault Diagnosis of Microbial Fuel Cell Based on Wavelet Packet and SOM Neural Network

被引：0
|
作者：
Ma, Fengying [1 ]
Yin, Yankai [1 ]
Sun, Kai [1 ]
机构：
[1] Qilu Univ Technol, Sch Elect Engn & Automat, Jinan 250100, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Microbial Fuel Cell; Wavelet Packet; SOM Network; Fault Diagnosis;
D O I：
10.1109/ccdc.2019.8832962
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the faults in the process of two-chamber microbial fuel cell system, a fault diagnosis method for microbial fuel cells based on wavelet packet and SOM neural network is proposed. First, the data samples of output voltage in various typical fault states are obtained through experiments and MATLAB simulation. Secondly, these signals are decomposed into three layers of wavelet packets to obtain the frequency range represented by each frequency band after decomposition, and calculate the characteristic values of different frequency bands. Finally, the SOM neural network is used to diagnose the microbial fuel cell. The experiment proved that the algorithm effectively improves the effectiveness and accuracy of microbial fuel cell fault diagnosis.
引用
收藏
页码：367 / 372
页数：6
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