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Fault prediction

Fayrix Machine Learning solution analyses equipment working conditions and predicts potential failures and downtime
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WHY IS IT IMPORTANT
to Predict Equipment Failures?
Timely prediction of equipment faults and failures helps decrease costs for maintenance and repairs, as well as avoid total failure and unwanted repair and replacement costs. Subsequent financial losses can be not only direct, but also indirect - loss of customer confidence and deterioration of the image can cause a long-term decline in profits and outflow of customers. Using predictive analytics to predict breakdowns avoids such problems.

The predictive model answers two questions: what will break and when will break. Equipment failure prediction is carried out both on the basis of accumulated data and data received in real time.
Roadmap of Building
A PREDICTIVE MODEL

1
Data collection
2
Noise elimination
(PCA, autoencolder)
3
Creating attributes
4
Model balancing
(upsampling, SMOTE)
5
Model training
6
Model validation
7
Building forecasts
SOURCE DATA
for Forecasting
The more data sources are employed in searching for dependencies, the higher is the faults forecasting quality. "Useful" signal can be detected in very unexpected sources.
Specifics of a Fault
PREDICTION TASK

Lack of balance between positive and negative cases

Lack of relevant data from equipment sensors (no values or the same values)

Data is of high-dimentionality, but disparse

What and how
to forecast?
In how much time is a fault going to occur?
Linear regression
  • Gradient boosting on decision trees - regression
  • Neural networks, deep learning
Classification (will/will not break down) during a particular time period
Logistic regressionЛогистическая регрессия
  • Gradient boosting on decision trees - classification
  • Neural networks, deep learning

Advantages of Models Based
ON DEEP LEARNING

Work with time sequences
Can memorise and generalize a large number of patterns
Easily scalable
Flexible when choosing attributes
Would you like to accurately predict faults & possible downtime in your company? Contact us right now!