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To meet the challenges of the big data age, an urgent requirement from diverse manufacturing industries is to develop a systematic time-variant methodology to make good use of the condition parameters to benefit more from the monitoring point of view. With condition-based Statistical Process Control (SPC), we develop a time-variant Exponentially Weighted Moving Average-Cumulative Sum (EWMA-CUSUM)...
This paper proposes a dual Halbach array to improve the thrust force of tubular linear machines. The force output of a single phase permanent magnet tubular linear motor (PMTLM) is obtained analytically. It is validated with finite element method (FEM). Based on the analytical force model, penalty method and scanning method are employed to conduct parameter optimization to maximize the force output...
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorporates proportionality constraints in the computation of the cluster centroids, resulting in reduced L1 error rates. We compare the new method to two competing methods, an approximate L1-distance k-means algorithm, where the...
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