نتایج جستجو برای: phase sampling method
تعداد نتایج: 2278893 فیلتر نتایج به سال:
Fault detection and post-fault operation are two functionalities of modern fault-tolerant system. In this paper, a new current predictive method for single open-phase fault (SOPF) detection in permanent magnet synchronous machine (PMSM) is presented. Major advantage of the proposed method is the capability of detecting open-phase fault in a few sampling intervals (few hundreds of μs). Also, an ...
A chromium electroplating bath with the ability to produce homogenous mist was used to evaluate parameters influencing hexavalent chromium (Cr+6) mist sampling methods. The results of 48 Cr+6mist samples collected using the U.S. National Institute for Occupational Safety and Health method 7600...
The goal of accurately locating fluid phase boundaries by means of computer simulation is hampered by difficulties associated with sampling both coexisting phases in a single simulation. We explain the background to these difficulties and describe how they can be tackled using a synthesis of biased Monte Carlo sampling and histogram extrapolation methods, in conjunction with a standard fluid si...
The linear sampling method (LSM) is a qualitative inverse scattering technique that can create good-fidelity imagery at low computational expense. However, it challenging to use in many practical scenarios due its need for wide-angle multistatic-multiview data with dense spatial sampling. We present new LSM formulation imaging conducting targets from more limited sensor distribution. mitigates ...
Despite advances in resolution accompanying the development of high-field superconducting magnets, biomolecular applications of NMR require multiple dimensions in order to resolve individual resonances, and the achievable resolution is typically limited by practical constraints on measuring time. In addition to the need for measuring long evolution times to obtain high resolution, the need to d...
We propose a sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a “successive sampling” strategy with a simple randomized partitioning technique to generate a candidate set of outliers. This phase requires one full data scan and the running time has linear complexity with respect to the size and dimensionali...
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