Reliability and Clustering Techniques for Inspection Optimization of Large Populations
This dissertation proposes a methodology for optimizing inspection schedules of large heterogeneous populations, by combining clustering analysis, reliability analysis, and nonlinear optimization techniques. Due to limitation of resources, only a small proportion of the population can be inspected....
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| Format: | Others |
| Language: | en |
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VANDERBILT
2007
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| Online Access: | http://etd.library.vanderbilt.edu/available/etd-07222007-151208/ |