#TITLE_ALTERNATIVE#
Typically, models of pipelines and pipe networks are calibrated to metered data by optimising the choice of parameters according to some penalty function. This approach does not provide a natural way to assess the predictive uncertainty when these models are used to infer the presence and descriptio...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/11429 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Typically, models of pipelines and pipe networks are calibrated to metered data by optimising the choice of parameters according to some penalty function. This approach does not provide a natural way to assess the predictive uncertainty when these models are used to infer the presence and description of a leak. This final work describes a fully-probabilistic approach in which the activities of calibration and prediction are unified, using the mass-imbalance approach to leak detection as an example. The resulting probability distribution over leak location and size can be presented graphically, or it can be used within an optimal decision framework to compute an efective response taking uncertainty into account in which using the contingency table. With this contingency table, we can decide where the position is and how the coefficient of that leak looks like. |
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