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This paper presents an effective and practical multiple class feature selection (MCFS) approach for induction motor fault diagnosis. Wavelet transform is applied to extracting energy features at some specific frequency components from both stator current signals and vibration signals. These energy features are collected to form a high-dimensional feature vector. MCFS algorithm is then introduced to...
This paper proposes a novel method of using electromyographic (EMG) potentials generated by the forearm muscles during hand and finger movements to control an artificial prosthetic hand worn by an amputee. Surface EMG sensors were used to record a sequence of forearm EMG potential signals via a PC sound card and a novel 3-D electromagnetic positioning system together with a data-glove mounted with...
In this paper, the theory of natural immune system is first briefly introduced. Several representative artificial immune networks are next discussed. Their principles and learning algorithms are given here in details. Moreover, we demonstrate the applications of these artificial immune networks in the fields of data mining, pattern recognition, and optimization
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