54 research outputs found

    Windowed Selected Moving Autocorrelation (WSMA), Tri-Correlation (TriC), and misfire detection

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    In this paper, two correlations, Windowed Selected Moving Autocorrelation (WSMA) and Tri-Correlation (TriC), are introduced and discussed. The WSMA is simpler than the conventional autocorrelation. WSMA uses less data points to obtain useful signal content at desired frequencies. The computational requirement is therefore reduced compared to the conventional autocorrelation. The simplified TriC provides improved signal to noise separation capability than WSMA does while still requiring reduced computational effort compared to the standard autocorrelation. Very often, computation resource limitation exists for real-time applications. Therefore, the WSMA and TriC offer more opportunities for real-time monitor and feedback control applications in the frequency domain due to their high efficiencies. As an example, applications in internal combustion (IC) engine misfire detection are presented. Simulation and vehicle test results are also presented in this paper

    Hierarchical and Resilient Conductive Network of Bridged Carbon Nanotubes and Nanofibers for High-Energy Si Negative Electrodes

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    International audienceA design of thick composite electrode for lithium batteries, based on a hierarchical and resilient conductive network of bridged carbon nanotubes [multiwall carbon nanotubes (MWNTs)] and nanofibers [vapor-grown carbon nanofibers (VGCFs)], is presented. This thick silicon/MWNT/VGCF electrode shows a greatly improved cyclability. The combination of VGCF and MWNT easily adapts to large volume changes and favors electronic percolation from nano- to micrometer levels. The whole procedure is simple and could be extended to other anode and cathode materials

    Genetic repeat polymorphism in the regulating region of CYP2E1: frequency and relationship with enzumatic acitivity in alcoholics.

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