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"AN APPLICATION IN MULTIVARIATE SPC FOR POWER CALIBRATION," Quality Engineering, Vol. 9(1)

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  • Published Date:
    6/12/2015 11:06:21 PM
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    338KB
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    1
  • Popularity Degrees:
    ★★★★★
  • Download Count:
    974

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Description

This paper describes an application in real-time multivariate statistical process control for the automated power calibration of a family of high-energy power supplies. Subsequent to a variance-stabilizing transformation, data for the actual power produced by each unit under test is regressed on the specified input power over the operating range. The slope and intercept from the simple linear regression are then compared to the bivariate normal distribution for slope-intercept pairs from previous units using a prediction approach based on multivariate multiple linear regression. The approach has been effective in identifying quality problems on-line, and the efficiency of the multivariate SPC procedure has decreased total test cycle time at the automated test. Process capability results for the power calibration test are presented for the first 632 production units for the Lightning power supply family, and the results indicate strong evidence that a six sigma level of quality has been achieved for the power calibration process.

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