Paper Title:
Gross Error Detection in Pneumatic Measurement of Form Tolerance Based on Fuzzy Assessment
  Abstract

Aiming at the problem of gross error in datasets of form tolerance pneumatic measurement, which have the characteristics of small sample and non-statistical distribution, a new fuzzy assessment based method for detecting and rejecting the gross error is proposed. The detecting principle and its procedure are elaborated, and some correlative problems, including the valuation of fuzzy optimal factor and calculation of fuzzy available interval are also discussed in detail. Using an actual dataset in pneumatic measurement of form tolerance to calculate, the results demonstrate the effectiveness and consistency of the proposed method and it can be used to detect and reject the gross error of the measurement sequence in a rapid, simple and reliable way by comparison with the traditional methods based on statistical theory. And it is well suited for detecting gross error in various measurement processes with the measured datasets of small sample and non-statistical distribution.

  Info
Periodical
Edited by
Guanglin Wang, Huifeng Wang, Jun Liu and Xilin Zhu
Pages
69-74
DOI
10.4028/www.scientific.net/AMR.305.69
Citation
J. Liu, G. L. Wang, J. Wang, X. D. Pan, "Gross Error Detection in Pneumatic Measurement of Form Tolerance Based on Fuzzy Assessment", Advanced Materials Research, Vol. 305, pp. 69-74, 2011
Online since
July 2011
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