Equipment maintenance/failure investigation AITry replacing it with your own business.
Classify publicly available synthetic equipment data using actually learned decision trees.
You can check the processing results by changing the inputs and conditions below. Sample data and output can be saved.
Equipment maintenance/failure investigation AI
Classify publicly available synthetic equipment data using actually learned decision trees.
01 / input sample
02 / Processing results
- Target line
- 40
- Need confirmation
- 3
| line | Rotation speed (rpm) | Tool usage (min) | model output | Confirmation target | Correct answer label |
|---|---|---|---|---|---|
| 1 | 1783.0 | 130.0 | 0.002 | below threshold | 0 |
| 2 | 1419.0 | 159.0 | 0.002 | below threshold | 0 |
| 3 | 1454.0 | 94.0 | 0.002 | below threshold | 0 |
| 4 | 1496.0 | 162.0 | 0.002 | below threshold | 0 |
| 5 | 1532.0 | 126.0 | 0.002 | below threshold | 0 |
| 6 | 1650.0 | 13.0 | 0.002 | below threshold | 0 |
| 7 | 1464.0 | 37.0 | 0.002 | below threshold | 0 |
| 8 | 1480.0 | 107.0 | 0.002 | below threshold | 0 |
| 9 | 2643.0 | 21.0 | 0.867 | Need confirmation | 0 |
| 10 | 1743.0 | 210.0 | 0.083 | below threshold | 0 |
| 11 | 1483.0 | 153.0 | 0.002 | below threshold | 0 |
| 12 | 1227.0 | 187.0 | 0.909 | Need confirmation | 1 |
| 13 | 1404.0 | 119.0 | 0.002 | below threshold | 0 |
| 14 | 1581.0 | 51.0 | 0.002 | below threshold | 0 |
| 15 | 1364.0 | 208.0 | 0.909 | Need confirmation | 1 |
| 16 | 1604.0 | 200.0 | 0.002 | below threshold | 0 |
| 17 | 1301.0 | 219.0 | 0.228 | below threshold | 1 |
| 18 | 2102.0 | 5.0 | 0.002 | below threshold | 0 |
| 19 | 1466.0 | 41.0 | 0.002 | below threshold | 0 |
| 20 | 1510.0 | 61.0 | 0.002 | below threshold | 0 |
| 21 | 1614.0 | 191.0 | 0.002 | below threshold | 0 |
| 22 | 1627.0 | 168.0 | 0.002 | below threshold | 0 |
| 23 | 1462.0 | 181.0 | 0.002 | below threshold | 0 |
| 24 | 1590.0 | 22.0 | 0.002 | below threshold | 0 |
| 25 | 1448.0 | 53.0 | 0.002 | below threshold | 0 |
| 26 | 1366.0 | 65.0 | 0.006 | below threshold | 0 |
| 27 | 1447.0 | 146.0 | 0.002 | below threshold | 0 |
| 28 | 1568.0 | 25.0 | 0.002 | below threshold | 0 |
| 29 | 1447.0 | 173.0 | 0.002 | below threshold | 0 |
| 30 | 1374.0 | 154.0 | 0.006 | below threshold | 0 |
| 31 | 1438.0 | 78.0 | 0.002 | below threshold | 1 |
| 32 | 1594.0 | 54.0 | 0.002 | below threshold | 0 |
| 33 | 1516.0 | 53.0 | 0.002 | below threshold | 0 |
| 34 | 1535.0 | 40.0 | 0.002 | below threshold | 0 |
| 35 | 1309.0 | 167.0 | 0.006 | below threshold | 0 |
| 36 | 1313.0 | 127.0 | 0.006 | below threshold | 0 |
| 37 | 1425.0 | 224.0 | 0.083 | below threshold | 0 |
| 38 | 1520.0 | 171.0 | 0.002 | below threshold | 0 |
| 39 | 1452.0 | 77.0 | 0.002 | below threshold | 0 |
| 40 | 1651.0 | 92.0 | 0.002 | below threshold | 0 |
The model output is the failure rate within the leaf nodes during training. This is not a failure probability calibrated to robot.
A small model trained on synthetic data. It does not indicate the failure prediction performance of robot.
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See data source/model evaluation
Uses 10,000 publicly available synthetic data. 8,000 results were learned with a fixed seed of 42, and 2,000 results were used for validation. The screen shows the first 40 items of verification data.
AI4I 2020 Predictive Maintenance Dataset (2020), UCI Machine Learning Repository · DOI · CC BY 4.0
Verification results (threshold 0.5): 28 out of 67 failures were detected and 39 were missed. Out of 1,933 normal cases, 8 cases were falsely detected. Additional verification is required for application to robot.
From this sample to implementation
Check operation with sample
Check the processing content, required input, and output format. We will also organize unsupported formats and requirements.
Small-scale verification using in-house data
We evaluate accuracy, processing time, and correction man-hours using data that we have permission to use. We will agree in advance how to transfer confidential data.
Implement approval, collaboration, and operation
We decide on authority, person in charge of confirmation, existing system linkage, and maintenance conditions before implementing the system. Costs and delivery dates will be provided depending on the target data and requirements.
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