Anomaly detection with domain specific shapelet learning for sucker rod pump system
Abstract Ensuring the reliable operation of Sucker Rod Pump Systems (SRPS) is of paramount importance in the petroleum industry, demanding effective methods for the early detection of slow-developing secondary faults. The conventional methodology focuses on multi-fault classification and feature ext...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-11945-4 |
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