New Part MTBF Prediction (Technical Specification)
The widgets on the New Part MTBF Prediction dashboard are separated into three mini-dashboards:
MTBF New Part Prediction Summary
The data used to generate this mini-dashboard is based on the following:
Analytical Object | AO_PAI_ML_MTBF_NewPartPrediction |
Query Object | QO_PAI_ML_MTBF_NewPartPrediction |
Data Source | PAI Machine Learning |
Cab File | MeanTimeBetweenFailure.cab |
Parameters | None |
Predecessor Jobs | None |
Build Type | None |
Build Frequency | None |
| • Anomaly • Confidence • Cluster • Part • Partcustom1 • Partcustom7 • Partcustom10 • Partcustom13 • Partcustom14 • Partcustom15 • Part Description • Part Name4 • Part Repairable • PProcurement |
| Measure | Mathematical Function |
|---|
Confidence Category | Sum of Confidence Category | Mean MTBF | Average of Mean MTBF | MSE | Average of Meansquarederror | MTBF Std Dev | Average of StdDev | New Parts | Distinct count of Partnumber | Outlier | Sum of Anomaly | Price | Sum of Price | Rec. MTBF | Average of RecMTBF | Rec MTBF Max | Average of Recommended MTBF Max | Rec. MTBF Min | Average of Recommended MTBF Min | Total Clusters | Distinct count of Groupname |
|
These are the
Measures that are available for this dashboard:
MTBF Feature Importance
The data used to generate this mini-dashboard is based on the following:
Analytical Object | AO_PAI_ML_MTBF_FeatureImportance |
Query Object | QO_PAI_ML_MTBF_FeatureImportance |
Data Source | PAI Machine Learning |
Cab File | MeanTimeBetweenFailure.cab |
Profiles | None |
Parameters | Name | Description | Default |
|---|
PO_PAI_ML_MTBF_Slicedate | The History Slice Date that works best for the Forecast Analysis | N/A |
|
Predecessor Jobs | None |
Build Type | None |
Build Frequency | None |
| • Feature |
| Measure | Mathematical Function |
|---|
Importances | Average of Importances |
|
MTBF New Part Prediction Details
The data used to generate this mini-dashboard is based on the following:
Analytical Object | AO_PAI_ML_MTBF_NewPartPrediction |
Query Object | QO_PAI_ML_MTBF_NewPartPrediction |
Data Source | PAI Machine Learning |
Cab File | MeanTimeBetweenFailure.cab |
Parameters | None |
Predecessor Jobs | None |
Build Type | None |
Build Frequency | None |
| • Anomaly • Confidence • Cluster • Part • Partcustom1 • Partcustom7 • Partcustom10 • Partcustom13 • Partcustom14 • Partcustom15 • Part Description • Part Name4 • Part Repairable • PProcurement |
| Measure | Mathematical Function |
|---|
Confidence Category | Sum of Confidence Category | Mean MTBF | Average of Mean MTBF | MSE | Average of Meansquarederror | MTBF Std Dev | Average of StdDev | New Parts | Distinct count of Partnumber | Outlier | Sum of Anomaly | Price | Sum of Price | Rec. MTBF | Average of RecMTBF | Rec MTBF Max | Average of Recommended MTBF Max | Rec. MTBF Min | Average of Recommended MTBF Min | Total Clusters | Distinct count of Groupname |
|