Research on Fault Diagnosis System of IOT for Oil Well Pump Based on Machine Learning
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15. März 2024
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Online veröffentlicht: 15. März 2024
Seitenbereich: 10 - 25
DOI: https://doi.org/10.2478/ijanmc-2023-0062
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© 2023 Bozhi Xiao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Evaluation index data obtained by machine learning operations
Type | Train | Test |
---|---|---|
MAE | 1.91 | 5.59 |
MSE | 9.33 | 11.35 |
RMSE | 5.42 | 7.41 |
nRMSE (%) | 4.03 | 8.85 |
Top 20 records in the data set used by oil well pump machine learning
Code | Date | Time | Oil Pressure (Mpa) |
---|---|---|---|
1 | 6/1 | 0:00 | 1.69 |
2 | 6/1 | 1:00 | 1.81 |
3 | 6/1 | 2.00 | 2 |
4 | 6/1 | 300 | 1.97 |
5 | 6/1 | 4:00 | 1.84 |
6 | 6/1 | 5:00 | 2.01 |
7 | 6/1 | 6:00 | 1.62 |
8 | 6/1 | 7:00 | 1.89 |
9 | 6/1 | 8:00 | 2.14 |
10 | 6/1 | 9.00 | 2 |
11 | 6/1 | 10:00 | 2.06 |
12 | 6/1 | 1100 | 1.8 |
13 | 6/1 | 12:00 | 1.65 |
14 | 6/1 | 13:00 | 1.67 |
15 | 6/1 | 14:00 | 2.11 |
16 | 6/1 | 15.00 | 1.88 |
17 | 6/1 | 16:00 | 2.12 |
18 | 6/1 | 17:00 | 1.54 |
19 | 6/1 | 18:00 | 2.08 |
20 | 6/1 | 19:00 | 2.02 |