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Technology’s Basic Metrology course is designed to teach
aspects of the science of measurement known as metrology.
The basic concepts and principles of metrology equip
the technician with the tools to measure and compare
a known value or quantity to an unknown in order to
define the unknown relative to the known. Essential
to the field of metrology is the understanding of the
fundamental methods by which objects and phenomena are
measured, as well as the means for assigning values
and uncertainties to these measurements.
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History of Measurement
• Measurement Terms and Concepts
• Making a Measurement
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• Reading
Instrument Indications
• Troubleshooting
• Reporting |
Measurement
Uncertainty Training
Metrologists and engineers have asked for an uncertainty
course that bridges the gap between the advanced courses
designed around software packages and teaching yourself
with a copy of the “Guide to the Expression of Uncertainty
in Measurement,” also known as the GUM. Ideally, a basic
uncertainty course should be generic enough so that
Technicians, Metrologists, Engineers and Managers understand
the “in’s” and the “outs” of performing measurement
uncertainty analysis and yet be flexible enough to enhance
any measurement application.
This is that course.
DTI's Basic Uncertainty course describes the basic concepts
and philosophies of measurement uncertainty and discusses
its practical application. This includes refreshing
basic math skills, identifying uncertainty contributors
and building an uncertainty budget. Practical exercises
include dimensional, mechanical and electrical examples
but can be configured to your specific requirements.
Attendees are encouraged to bring their own uncertainty
problems to solve in class.
• Uncertainty Terms and Concepts
• Math Basics
• Uncertainty Components
• Uncertainty Contributors
• Budgeting/Analysis
• Tools – Software and Spreadsheets
ISO/IEC 17025
Consulting
• Quality System Development & Gap Analysis
• Third Party Auditing
• 17025 Training & Accreditation
Measurement Systems
Analysis
• Level of Competency Studies
• Bias, Repeatability, Reproducibility, and Stability
Studies
• Process and Procedural Development
• Gage R & R Studies |