Article ID Journal Published Year Pages File Type
496866 Applied Soft Computing 2009 8 Pages PDF
Abstract
The proposed hybrid approach consists of two main phases. In the first phase a single fuser for the input sensor signals is generated using the fuzzy clustering c-means algorithm. The fused output is based on the cluster centers that contain the maximum number of the input elements. In the second phase a fault detector was generated base on the artificial immune system AIS.
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Physical Sciences and Engineering Computer Science Computer Science Applications
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A hybrid intelligent system for fault detection and sensor fusion
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