PPT-A Perspective on Measurement Uncertainty Analysis for Comme

H igh accuracy data is critical to vetting engine performance indices such as compressor efficiency and thrust specific fuel consumption Environmental and engine operating conditions can significantly vary during a flight cycle consisting of takeoff climb cruise descent and landing influencing the elemental systematic uncertainties of measurements Ref 1 provides general definitions of error sources . 6 and 17 on pp 1216 of the Serway text before this activity Please note that while attending the MA1 evening lecture is optional the MA1 assignment is NOT optional and must be turned in before the deadline for your division for credit The deadline fo in Measurement. (IB text - Ch 11; AP text - section 1.4 pgs. 10-13 and A10-A13). All measurements have some degree of . uncertainty. . Therefore, we need to give some indication of the reliability of measurements and the uncertainties in the results calculated from these measurements. . An Introduction to Uncertainty Analysis. Error Sources. The measurement process consists of three dis-tinct steps: calibration, data acquisition, and data reduction. calibration error. data acquisition error. OUTLINE. Accelerator Pre-alignment background. Uncertainty and GUM supplement 1. PACMAN pre-alignment budgeting . CMM uncertainty modeling. Thermal uncertainty compensation and modeling. First stochastic modeling results. Accuracy vs. Precision. What is the difference?. Accuracy vs. Precision. Precision . accuracy. Exactness. Divisions on scale. Reproducibility. Uncertainty. Significant digits. Correctness. Calibration. Africa Regional Workshop on the Building of Sustainable National. Greenhouse Gas Inventory Management Systems, and the use of the 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Swakopmund. Patricia Hanson. Biological Administrator I. Florida Department of Agriculture and Consumer Services, Food Safety, Microbiology Laboratory. What is Uncertainty. Quality of a Measurement. “Give or Take”. 1.2 – Uncertainties and errors. Essential idea:. . Scientists aim towards designing experiments that can give a “true value” from their measurements, but due to the limited precision in measuring devices, they often quote their results with some form of uncertainty.. Laplace . and Gauss to GUM and implications for current practice . William R. Porter, PhD. Principal Scientist. Peak Process Performance Partners . LLC. PPPP-LLC@comcast.net. Why measure things?. “In . Section 1: Observation, Describing quantities, and Estimation. Section 2: Measurement uncertainty, Error propagation, and Analytical methods. Section 1 Objectives. . Core Principles. Physics and Observation. Jean-Luc DUFOUR, Nicolas PEPIN, Clément . DEYGLUN, Anne-Laure WEBER. Institut. de Radioprotection et de . Sûreté. Nucléaire. Jean-luc.dufour@irsn.fr. Optimization of the traditional enrichment meter method applied to uranium enrichment measurement in 30B and 48Y UF6 cylinders. . A. KHINE. DIVISION OF CHEMICAL PATHOLOGY. NHLS TYGERBERG . STELLENBOSCH UNIVERSITY. Laboratory Management workshop 3-6 June 2019. MEASUREMENT UNCERTAINTY. is a parameter, associated with the result of a measurement… that defines the range of the values that could reasonably be attributed to the measured quantity (UKAS). using the salt dilution method:. a new framework. Alexandre Hauet. 1. , Kristoffer Florvaag-Dybvik. 1. , Mads-Peter Jakob Dahl. 1. , Frode Thorset Kvernhaugen. 1. , Knut Magne Møen. 1. , Gabriel Sentlinger. Uncertainty Essentials. Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018. Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018. Uncertainty Essentials. Definition of Measurement Uncertainty.