System regularities in design of experiments and their applications
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2007
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| Online Access: | http://hdl.handle.net/1721.1/35303 |
| _version_ | 1811092645254004736 |
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| author | Li, Xiang, Ph. D. Massachusetts Institute of Technology |
| author2 | Daniel D. Frey. |
| author_facet | Daniel D. Frey. Li, Xiang, Ph. D. Massachusetts Institute of Technology |
| author_sort | Li, Xiang, Ph. D. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. |
| first_indexed | 2024-09-23T15:21:23Z |
| format | Thesis |
| id | mit-1721.1/35303 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T15:21:23Z |
| publishDate | 2007 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/353032019-04-12T10:00:36Z System regularities in design of experiments and their applications Li, Xiang, Ph. D. Massachusetts Institute of Technology Daniel D. Frey. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Page 156 blank. Includes bibliographical references (p. 151-155). This dissertation documents a meta-analysis of 113 data sets from published factorial experiments. The study quantifies regularities observed among main effects and multi-factor interactions. Such regularities are critical to efficient planning and analysis of experiments, and to robust design of engineering systems. Three previously observed properties are analyzed - effect sparsity, hierarchy, and heredity. A new regularity on effect synergism is introduced and shown to be statistically significant. It is shown that a preponderance of active two-factor interaction effects are synergistic, meaning that when main effects are used to increase the system response, the interactions provide an additional increase and that when main effects are used to decrease the response, the interactions generally counteract the main effects. Based on the investigation of system regularities, a new strategy is proposed for evaluating and comparing the effectiveness of robust parameter design methods. A hierarchical probability model is used to capture assumptions about robust design scenarios. A process is presented employing this model to evaluate robust design methods. (cont.) This process is then used to explore three topics of debate in robust design: 1) the relative effectiveness of crossed versus combined arrays; 2) the comparative advantages of signal-to-noise ratios versus response modeling for analysis of crossed arrays; and 3) the use of adaptive versus "one shot" methods for robust design. For the particular scenarios studied, it is shown that crossed arrays are preferred to combined arrays regardless of the criterion used in selection of the combined array. It is shown that when analyzing the data from crossed arrays, signal-to-noise ratios generally provide superior performance; although that response modeling should be used when three-factor interactions are absent. Most significantly, it is shown that using an adaptive inner array design crossed with an orthogonal outer array resulted in far more improvement on average than other alternatives. by Xiang Li. Ph.D. 2007-01-10T15:37:30Z 2007-01-10T15:37:30Z 2006 2006 Thesis http://hdl.handle.net/1721.1/35303 75960345 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 156 p. 678639 bytes 678045 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Li, Xiang, Ph. D. Massachusetts Institute of Technology System regularities in design of experiments and their applications |
| title | System regularities in design of experiments and their applications |
| title_full | System regularities in design of experiments and their applications |
| title_fullStr | System regularities in design of experiments and their applications |
| title_full_unstemmed | System regularities in design of experiments and their applications |
| title_short | System regularities in design of experiments and their applications |
| title_sort | system regularities in design of experiments and their applications |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/35303 |
| work_keys_str_mv | AT lixiangphdmassachusettsinstituteoftechnology systemregularitiesindesignofexperimentsandtheirapplications |