A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems
In this study, an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented, addressing the problem with possible multiple faults, which is based on conventional fuzzy soft clustering and artificial immune system (AIS). The proposed hybrid system approach consis...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2007
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| Online Access: | http://hdl.handle.net/1969.1/4780 |