Abstract
To solve the problems such as mass information processing, high real-time requirement and complexity of fault diagnosis for the navigation mark in the inner river, this paper presents a sort of fault diagnosis method based on fuzzy inference. In the paper, it is established the mathematical model of fuzzy fault diagnosis, and gives the process of fault diagnosis based on fuzzy inference, and correspondingly gives an application example at the end of the paper. The research results show that the method improves the precision of fault diagnosis greatly and solves effectively the problem of the fault diagnosis of navigation mark in real time and complexity as well as mass information processing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lu, G., Wu, W., Jinbo, Z.: Research of Energy Saving on Remote Monitoring Pharos Based on Wireless Sensor Networks. Control & Automation 10-1, 105–107 (2007)
Jiachun, Z.: Key Technique of Remote Monitoring System of Navigational Marks. Navigation of China 4, 61–65 (2006)
Yunping, W., Shengzhen, C., Huasong, L., Weida, S., Jinying, W., Wangbiao, L.: Design and Implementation of Pharos Remote Control Information System. Computer Engineering 32(12), 253–254 (2006)
Schuh, C.J.: Usage of Fuzzy Systems in Critical Care Environments. In: IEEE International Conference on Fuzzy Systems, pp. 1339–1344 (2008)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Zadeh, L.A.: Biological Application of the Theory of Fuzzy Sets and System. In: The Proceedings of an International Symposium on Biocybernetics of the Central Nervous System, pp. 199–206 (1969)
Yingluo, W.: Systems Engineering. Mechanical Engineering Press, Beijing (1995)
Xi, L., Zhigang, H.: Engineering Machine Fault Diagnosis Expert System Based on Fuzzy Inference and Self-learning. Computer Engineering and Applications 15, 200–202 (2005)
Shuzhen, Y., Wenshang, X., Yunhong, G.: Study on Fault Diagnosis of Mine hoist based on Fuzzy Inference. Coal Mine Machinery 9, 148–150 (2005)
Jinpei, W.: Fuzzy Diagnosis Theory and its Applications. Science Press, Beijing (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cheng, Sl., Lu, Wb., Zeng, W. (2009). Fuzzy Inference Based Fault State Diagnosis of Navigation Mark. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-03664-4_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
eBook Packages: EngineeringEngineering (R0)