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Activity Number:
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148
- Design and Analysis of Experiments
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Type:
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Contributed
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Date/Time:
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Monday, August 8, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #322465
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Title:
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Optimal Condition-Based Maintenance Policy Under Tweedie Exponential Dispersion Process
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Author(s):
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David Han*
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Companies:
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UTSA
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Keywords:
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condition-based maintenance;
exponential dispersion process;
optimal inspection interval;
random effect model;
stochastic order
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Abstract:
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Condition-based maintenance is an effective method to reduce unexpected failures as well as the operations and maintenance costs. This work discusses the condition-based maintenance policy with optimal inspection points under Tweedie exponential dispersion process. A random effect parameter is used to account for population heterogeneities and its distribution is continuously updated at each inspection epoch. The observed degradation level along with the system age is utilized for making the optimal maintenance decision, and the structure of the optimal policy is examined along with the existence of the optimal inspection intervals.
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Authors who are presenting talks have a * after their name.
