PREVENTIVE MAINTENANCE
FOR MANUFACTURING & TELECOMS

Preventive maintenance models can be used to detect and prevent telecom antenna’s failure, or “cells”, as long as there are sensors measuring temperature, pressure, flow, vibrations, speed, etc. Riaktr is currently investigating preventive maintenance models for cells with TIMi.

Electric pump failure prediction

The objective was to predict the failure of submersible electric oil pumps in Russia. In a single area, there were already 500 pump failures per year. The idle-time could reaches 6 months in case of a serious accident. The characteristics of the problem were:

  • 5000 wells to manage
  • 50 GB of raw data
  • Historical depth of 3 years

There were more than 500 variables available from different sensors inside the wells (temperature, pressure, oil flow, etc at various points). We created additional variables to encode the dispersion, the increments and the recency of the different events. In the end, we had more than 2000 variables.

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Final results

Thanks to the prediction, we could significantly reduce the plant downtime and manage resources more efficiently.
If we assume that we have 3 out of 10 pumps that are going to fail, the model gave a correct prediction for 70% of them.

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Financial results

The estimated financial effects of this preventive maintenance system was:

Reduction of the repair costs: 1.5 billion rubles/year.
Increase of oil production: 1 billion ruble/year additional revenue.
Estimated total revenue: 2.5 billion rubles/year = 31.8 million €/year

TELECOM CUSTOMERS

orange

Orange

tigo

Tigo

Vodacom

Vodacom

Digicel

Digicel

Bouygues_Telecom

Bouygues Telecom

voo

VOO

mtn

MTN

airtel

Airtel

telefonica

Telefonica

post-luxembourg

Post Luxembourg

Riaktr

Riaktr

snype

Snype

claro

Claro