Flow Measurement Training Class Measurement Uncertainty
Evaluating the uncertainty of measurements is a vital part of Total Quality Management (TQM). Controlling the quality of measurements is an important first step in controlling product quality. As the quality of measuring instruments continues to improve, many organizations are unable to maintain the desired 4:1 accuracy ratio between calibration standards and measuring instruments. Deviations from this ratio must be documented to verify that accuracy has not been degraded. This course will provide instruction in evaluating measurement uncertainties.
The concepts learned in this course can also be used very effectively in: design of measurement systems; pre-test analysis to decide if a target uncertainty can be met; error budgets; selection of measuring instruments; experiment design; control of measurement systems; and providing direction on how to improve measurement systems.
During 1993, the National Institute of Standards and Technology (NIST) converted their uncertainty statements to follow the ISO "Guide to the Expression of Uncertainty in Measurement." NVLAP (National Voluntary Laboratory Accreditation Program) has also specified the use of this guide for Voluntary Laboratory Accreditation. This guide will be discussed so that each student will understand the impact on uncertainties at all levels of calibration, experiment and test.
Course Objectives:
After completing this course, each student will understand the nature of measurement errors and be able to determine the random, systematic and total uncertainties of a measurement system. In addition, students will understand how to monitor and control the results of a measurement process, on a continuing basis, to produce evidence that the measurement process is in statistical control.
Prerequisites:
This course does not require any previous experience in statistics. Some experience in instrumentation, calibration, physics or electronics will be very helpful in understanding the course material. Students must bring a pocket calculator (with mean and Standard Deviation functions) and be prepared to work practice problems in the classroom.
Who Should Attend:
- Managers
- Engineers
- Technicians
- QA/QC Personnel
Topics Covered:
- Nature of Measurement Errors
- Variability of Measurements
- Analyzing and Interpreting Data
- Random and Systematic Errors
- Statistics; Mean, Variance, Standard Deviation, Standard Error
- Quantifying Random Uncertainties
- Quantifying Systematic Uncertainties
- Uncertainty Statements
- Measurement Assurance Programs
- Traceability To Higher Level Standards
- Check Standards
- Control Charts
- Warning and Action Limits
- Controlling the Uncertainty of Reference Standards
- Least Squares Regression Line Fitting
- Propagation of Uncertainties
- Test System Uncertainty Analysis
- Pre-test Uncertainty Analysis
- Error Budgets
- Selection of Measuring Instruments
- Post-Test Uncertainty Analysis
- Evaluation of 4:1 Accuracy Ratios
- ISO "Guide to the Expression of Uncertainty in Measurement"
- Analysis of Student's Applications