New Part MTBF Prediction - Technical Specification
The widgets on the New Part MTBF Prediction dashboard are separated into three mini-dashboards:
MTBF Prediction Summary — A summary of all clusters that are assigned to the new parts that are being added to the system
MTBF Feature Importance — All of the key features that are governing the MTBF
MTBF Prediction Details — All of the key attributes for each part that have an impact in the MTBF prediction
MTBF Prediction Summary
The data used to generate this mini-dashboard is based on the following:
Analytical Object
AO_PAI_MTBFNewPart
Query Object
QO_PAI_MTBF_NEW_PART
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_MTBFFeatureImportance
Query Object
QO_PAI_MTBF_FEATURE_IMPORTANCE
Data Source
PAI Machine Learning
Cab File
MeanTimeBetweenFailure.cab
Profiles
None
Parameters
Name
Description
Default
PO_PAI_ML_SLICE_DATE
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 Prediction Details
The data used to generate this mini-dashboard is based on the following:
Analytical Object
AO_PAI_MTBFNewPart
Query Object
QO_PAI_MTBF_NEW_PART
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
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