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Monitoring status with wireless sensor networks (WSNs) usually needs to perceive and transmit status values periodically. The periodical sampling will continuously consume sensor nodes' energy, which is rather limited in WSNs. Meanwhile, most monitored status values change slowly, continuously and self-interrelated in time, result in that a portion of periodical samples seem to be redundant. This...
Transformer fault diagnosis based on relevance vector machine (RVM) is proposed. The advantages of the RVM over the support vector machine (SVM) are probabilistic predictions, automatic estimations of parameters, and the possibility of choosing arbitrary kernel functions. Most importantly, RVM is capable of comparable classification accuracy to SVM, but with fewer relevance vectors (RVs) and higher...
A large absolute bandwidth of UWB pulse offers high resolution localization system with improved ranging accuracy and the probability of go through obstacles. However, in completely non-line-of-sight (NLOS) environment, the impulse radio (IR) signal will undergo deeply waveform distortion due to frequency dispersion, which cause inaccuracy in peak position detection in correlation receiver, consequently...
The availability of wireless devices and their increasing ability of sharing information has stimulated the emergence of the wireless ad hoc networks. Localization is a fundamental problem that needs to be solved with the best possible accuracy and efficiency. This paper proposes an RSS-based Monte Carlo localization scheme to sequentially estimate the location of mobile nodes, using the log-normal...
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