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Abstract Details
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Activity Number:
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420
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Quality and Productivity Section
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| Abstract - #305565 |
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Title:
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Failure Prediction of Spatially Correlated Infrastructures
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Author(s):
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Hongfei Li*+ and Yada Zhu
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Companies:
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IBM T. J. Watson Research Center and IBM Research
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Address:
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1101 Kitchawan Road, Yorktown Heights, NY, 10598, United States
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Keywords:
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Failure prediction ;
Hazard function ;
Spatial correlation ;
Survival analysis
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Abstract:
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Failure prediction of infrastructures distributed over space is crucial to cities' daily operations. Conventional failure prediction is either at the component level by considering them independently or requires the configuration of specific system structure. In our study, we developed a survival model to predict asset failures from system level by incorporating spatial correlations of individual components. The underlying correlation among assets may be due to complicated human activities or other unobserved factors. In addition, the dependence between two types of assets in the infrastructure network is also considered through hazard functions. The approach is illustrated using the asset network of a water company in US.
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Authors who are presenting talks have a * after their name.
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