Metrology : Calibration and Measurement Processes Guidelines

The guide is intended as a resource to aid engineers and systems contracts in the design, implementation, and operation of metrology, calibration, and measurement systems, and to assist NASA personnel in the uniform evaluation of such systems supplied or operated by contractors. Methodologies and techniques acceptable in fulfilling metrology quality requirements for NASA programs are outlined. The measurement process is covered from a high level through more detailed discussions of key elements within the process, Emphasis is given to the flowdown of project requirements to measurement system requirements, then through the activities that will provide measurements with defined quality. In addition, innovations and techniques for error analysis, development of statistical measurement process control, optimization of calibration recall systems, and evaluation of measurement uncertainty are presented.

[1]  Harry H Ku.  Statistical concepts in metrology , 1988 .

[2]  W. J. Youden,et al.  Graphical Diagnosis of Interlaboratory Test Results , 1972 .

[3]  Brett Belanger.  Measurement assurance programs. Part 1: General introduction , 1984 .

[4]  G. Wetherill,et al.  Statistical Theory and Methodology in Science and Engineering. , 1962 .

[5]  Frank Proschan,et al.  Confidence and Tolerance Intervals for the Normal Distribution , 1953 .

[6]  N. Draper,et al.  Applied Regression Analysis. , 1967 .

[7]  Emanuel Parzen,et al.  Stochastic Processes , 1962 .

[8]  Churchill Eisenhart,et al.  Realistic evaluation of the precision and accuracy of instrument calibration systems , 1963 .

[9]  William Q. Meeker,et al.  Weibull Percentile Estimates and Confidence Limits from Singly Censored Data by Maximum Likelihood , 1976, IEEE Transactions on Reliability.

[10]  Howard T. Castrup.  Calibration Requirements Analysis System 1 , 1989 .

[11]  Robert Davidson,et al.  Spin-offs , 1983, IEEE Spectrum.

[12]  H. Hartley.  The Modified Gauss-Newton Method for the Fitting of Non-Linear Regression Functions by Least Squares , 1961 .

[13]  Jonathan Roughgarden,et al.  Rule of thumb , 1991, Behavioral and Brain Sciences.

[14]  Max D. Morris.  A sequential experiments design for estimating a scale parameter from quantal life testing data , 1987 .

[15]  E. Kay,et al.  Methods for statistical analysis of reliability and life data , 1974 .

[16]  U. Grenander,et al.  Statistical Spectral Analysis of Time Series Arising from Stationary Stochastic Processes , 1953 .

[17]  W. J. Youden.  Uncertainties in Calibration , 1962 .

[18]  E. R. Jennings.  Cast in Concrete , 1971 .

[19]  Woodward G. Eicke,et al.  Regional Maintenance of the Volt Using NBS Volt Transfer Techniques , 1974 .

[20]  M. Kendall,et al.  A Study in the Analysis of Stationary Time-Series. , 1955 .

[21]  Mohamed S. Abdel-Hameed,et al.  Reliability theory and models : stochastic failure models, optimal maintenance policies, life testing, and structures , 1984 .

[22]  A. Déom,et al.  [The international system of units (SI)]. , 1979, Zeitschrift fur Krankenpflege. Revue suisse des infirmieres.

[23]  Verda Holmberg.  Metric System of Measurement , 1973 .

[24]  R. Jennrich,et al.  Application of Stepwise Regression to Non-Linear Estimation , 1968 .

[25]  Stephen E. Fienberg,et al.  Discrete Multivariate Analysis: Theory and Practice , 1976 .