Fault diagnosis for AUV based on FRPN

doi:10.3778/j.issn.1002-8331.2010.19.063

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (19): 217-219.DOI: 10.3778/j.issn.1002-8331.2010.19.063

• 工程与应用 • Previous Articles Next Articles

Fault diagnosis for AUV based on FRPN

LIU Xin¹，YIN Gui-sheng²，ZHANG Lei³

1.State Key Laboratory of Underwater Robot Technology，Harbin Engineering University，Harbin 150001，China
2.College of Computer Science and Technology，Harbin Engineering University，Harbin 150001，China
3.College of Information and Communication Engineering，Harbin Engineering University，Harbin 150001，China

Received:2009-03-12 Revised:2009-08-06 Online:2010-07-01 Published:2010-07-01
Contact: LIU Xin

基于FRPN的水下机器人故障诊断

刘心¹，印桂生²，张磊³

1.哈尔滨工程大学水下智能机器人技术国防科技重点实验室，哈尔滨150001
2.哈尔滨工程大学计算机科学与技术学院，哈尔滨150001
3.哈尔滨工程大学信息与通信工程学院，哈尔滨150001

通讯作者: 刘心

Abstract

Abstract: Because automatic underwater vehicle system faults have some characteristics of fuzziness and concurrency，a new fuzzy Petri Net（Fuzzy Reasoning Petri Net，FRPN） model based on fuzzy production rules reasoning is put forward.An efficient
reasoning algorithm is proposed.The fuzzy reasoning algorithm is formally expressed using max-algebra matrix equation， and has parallel reasoning ability.An automatic underwater vehicle system faults model is proposed and the probability of every
part is analyzed to give the sequence of troubleshooting.Experiments show that the model is intuitive，strongly expressive and easy to reason.

摘要： 根据水下机器人系统故障特征的提取具有模糊性和并发性的特点，提出了一种新的基于模糊产生式规则推理的Petri 网模型—模糊推理Petri 网（Fuzzy Reasoning Petri Net，FRPN），给出了有效的推理算法，并以极大代数矩阵算子进行了形式化表示。利用该模型为水下机器人故障系统进行建模，并分析得到系统中各部件故障发生的概率用以指导水下机器人维修中的故障排除。实验表明该模型具有直观、表达能力强和易于推理的优点。

CLC Number:

TP301

LIU Xin¹，YIN Gui-sheng²，ZHANG Lei³. Fault diagnosis for AUV based on FRPN[J]. Computer Engineering and Applications, 2010, 46(19): 217-219.

刘心¹，印桂生²，张磊³. 基于FRPN的水下机器人故障诊断[J]. 计算机工程与应用, 2010, 46(19): 217-219.

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Fault diagnosis for AUV based on FRPN

基于FRPN的水下机器人故障诊断

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