Research of Biogas Generator Monitoring System Model Based on Probability Petri Nets

摘要：

The biogas generator system put into practice has the deficiencies of poor stability, robustness and realtime, which has impacted the promotion and development of biogas power generation technology greatly. This paper designed a new monitoring model according to these deficiencies. This model established fault diagnosis subsystems according to the procedure of gas power generation, based on probability Petri nets, which build up separate diagnosis models for the four processes of gas generator. It applies the probability Petri for fault trigger operation in accordance with the fuzzy correspondence between fault symptom and the faults to obtain fault diagnosis results. Finally, this paper applies calculation analysis to illustrate the effectiveness of thaismodel.

关键词： probabilty Petri biogas generator fault diagnosis robustness

作者: Ding Tan Liu Hui

作者单位: Hubei University of Technology Engineering and Technology College, Wuhan, Hubei School of Electrical & Electronic Engineering, Hubei University of Technology, Wuhan, Hubei

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 505-508

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）