Livoa LogoLivoa
Predictive maintenance
Validation
N*K-fold CV
Holdout
Model development
Statistics

5

Machine Learning
7
Deep Learning
8
KPI
Risk rate

Equipment effectiveness

Remaining useful life

Health indicator
Anomaly
Fault conditions
Feature extraction
Time-domain
Frequency-domain

Time-frequency domain

Model tuning

Cost-sensitive learning

Evaluation metrics

Data balancing

Hyperparameter tuning

Undersampling

Ensemble method

Oversampling

Over- and undersampling

Model serving
Embedded
On-premise

Cloud

Model performance monitoring

Predictive Maintainence

by nosheen

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