DocumentCode :
293338
Title :
Fuzzy diagnosis and fuzzy navigation for plant inspection and diagnosis robot
Author :
Chen, Peng ; Toyota, Toshio ; Sasaki, Yutaka
Author_Institution :
Fac. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Volume :
1
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
185
Abstract :
Plant inspection and diagnosis robot (IDR) must have the ability to widely monitor the condition of plant machinery with only a few sensors, and to quickly discriminate machine failures. Sound information can be used for monitoring the condition and diagnosing the failure of many machines at the same time, so a sound measuring system is suitable for an IDR. However, when using sound information for condition monitoring and inspection, several problems, such as the effect of noise and a dull sensibility to failure signals, etc., must be solved. In this paper, the method of failure detection and navigation for an IDR is discussed by using sound information and fuzzy logic
Keywords :
acoustic variables measurement; computerised navigation; fault diagnosis; fuzzy control; fuzzy set theory; industrial control; industrial robots; inspection; mobile robots; navigation; diagnosis robot; fuzzy diagnosis; fuzzy logic; fuzzy navigation; machine failures; noise; plant inspection robot; plant machinery condition monitoring; sound information; Acoustic noise; Computerized monitoring; Condition monitoring; Fault detection; Fuzzy logic; Inspection; Machinery; Navigation; Robot sensing systems; Signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409679
Filename :
409679
Link To Document :
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