EWMA контрольная карта для технолог

EWMA контрольная карта для технологического процесса с линейно нарастающим математическим ожиданием, равным 10+0.02*t(:,ones(4,1)) при t = (1:28)', постоянной дисперсией, равной 0,52. Выборка исходных данных data является матрицей с размерностью 28×4, где количество выборок равно 28, число измерений в выборке - 4. Контрольная карта экспоненциально взвешенного скользящего среднего строиться для постоянной сглаживания lambda =0.4, контрольных границ соответствующих уровню значимости alpha =0.01. Границы допусков параметра равны LSL=9,75; USL=10,75.

結果 (英文) 1:

EWMA control chart for technological processes with linearly increasing mathematical expectation equal to 10 + 0.02 * t (:, ones (4.1)) t = (1:28) ', a permanent variance equal to 0.52. Sample source data is the matrix with dimension 28 × 4, where the number of samples is equal to 28, the number of dimensions in the sample-4. Control card an exponentially weighted moving average built for constant smoothing lambda = 0.4, control the borders of the respective level of significance alpha = 0.01. The boundary parameter tolerances equal LSL = 9.75; USL = 10.75.

結果 (英文) 2:

EWMA control chart for the process to ramp expectation of 10 + 0.02 * t (:, ones (4,1)) at t = (1:28) ', constant variance equal to 0.52. The sample source data data is a matrix with the dimensions 28 × 4, where the number of samples is 28, the number of measurements in the sample - 4. Checklist exponentially weighted moving average build for the smoothing constant lambda = 0.4, control limits corresponding to the significance level alpha = 0.01. The boundaries of parameter tolerances are LSL = 9,75; USL = 10,75.

結果 (英文) 3:

EWMA reference map for the technological process of linearly increasing mathematical expectation equal to 10 0.02 * t (:, ones (4.1) with t = (1, 28), a continuous dispersion equal to 0.52.the input data is a matrix with размерностью 28×4, where the number of samples as the number of dimensions in a sample of 28, 4.exponentially weighted moving average control chart based on constant smoothing of lambda = 0.4, the control limits of the level of alpha = 0.01. boundary parameter tolerances are LSL = 9.75.USL = 10,75

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