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l3_matrix_experiments4

# l3_matrix_experiments4 - Matrix Experiments Using...

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Matrix Experiments Using Orthogonal Arrays Robust System Design 16.881 MIT

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Comments on HW#2 and Quiz #1 Questions on the Reading Quiz Brief Lecture Paper Helicopter Experiment Robust System Design 16.881 MIT
Learning Objectives • Introduce the concept of matrix experiments Define the balancing property and orthogonality Explain how to analyze data from matrix experiments Get some practice conducting a matrix experiment Robust System Design 16.881 MIT

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Static Parameter Design and the P-Diagram Noise Factors Induce noise Product / Process Response Signal Factor Hold constant Optimize for a “static” experiment Control Factors Vary according to an experimental plan Robust System Design 16.881 MIT
Parameter Design Problem • Define a set of control factors (A,B,C…) • Each factor has a set of discrete levels Some desired response η (A,B,C…) is to be maximized Robust System Design 16.881 MIT

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Full Factorial Approach Try all combinations of all levels of the factors (A 1 B 1 C 1 , A 1 B 1 C 2 ,...)
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l3_matrix_experiments4 - Matrix Experiments Using...

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