Future failure rate prediction for transformers in power systems
Transformers are an integral part of power systems, which means that transformer failure is disruptive to the power grid. Failure prediction is an important tool to estimate when these failures are likely to happen, which informs the replacement of transformers before a failure event. By applyin...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158061 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Transformers are an integral part of power systems, which means that transformer
failure is disruptive to the power grid. Failure prediction is an important tool to estimate when
these failures are likely to happen, which informs the replacement of transformers before a
failure event.
By applying survival analysis methods to transformer data, patterns that are associated
with transformer failure can be identified. In particular, the brand of transformer is applied to
a Cox model to understand if certain brands have similar hazard functions. The coefficients of
these hazard functions are run through a clustering algorithm to calculate the grouping of
brands. These groups will serve to simplify the data in future analysis. |
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