Power Supply – Solution for Predictive Maintenance of Uninterruptible Power Supply Devices

Source: eKapija Tuesday, 22.11.2022. 00:34
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(Photo: Enel PS)
There is a multitude of definitions of digital transformation of business operations. However, what all of them have in common is that the goal of digital transformation is improving business processes by using digital tools. ENEL PS is positioned as the leader in maintenance of uninterruptible power supply devices with over 28 years of experience in this field, over 200 maintenance contracts and 400 years of accumulated experience of our engineers and technicians. What sets ENEL PS apart as the market leader is the continual drive for innovation and adding additional value for our customers.

That is why ENEL PS decided to take a huge step in the direction of digital transformation of the service sector by developing a platform for predictive maintenance of equipment.

What is predictive maintenance?

Predictive maintenance is the most advanced type of equipment maintenance that consistently monitors the equipment and processes wide range of interconnected data about the condition of the equipment which results in predictions about the future condition of the equipment so that any potential failures can be prevented before they happen.

Traditional maintenance boils down to reacting to defects after they happen or preventive maintenance with a predetermined dynamic regardless of the condition of the equipment or usage status. Traditional maintenance detects potential irregularities in operation processes only during the scheduled preventive maintenance. If regular maintenance is rare or there is none at all, the potential failures would not be detected in time and therefore it is crucial.


(Photo: Enel PS)


In order to provide our clients with the optimal maintenance service, ENEL PS is developing Power Supply platform which uses machine learning technology to process large number of parameters collected from the equipment and predicts the future behaviour of those parameters in order to provide timely information about possible equipment failure. Parameters being monitored are interconnected through functions, location or processes which allows us that by changing one parameter, predict the shift in other parameters. The platform is also taking into account variations concerning work conditions, season, processes and other. One of the platform`s advantages is detecting and reacting to the cause of the problem and not just the consequence. Namely, by processing data, the platform will note that changes to one parameter during a certain time period affect the other parameters and provide us with the cause of the problem. In addition to control function, Power Supply also has a function for managing set parameters, therefore it is possible to automatize certain activities within the equipment based on the condition of the processed parameters.

(Photo: Enel PS)
The basic challenges that led us to develop Power Supply platform are big costs of downtime caused by critical equipment failures, not being able to plan maintenance costs due to large number of unexpected malfunctions and enormous energy consumption due to equipment downtime. These challenges are especially pronounced in the banking, insurance and telecommunication sectors and in production, namely in automotive and food industries, that is, in factories with line and mass production.

With Power Supply platform, ENEL PS`s goal is to help clients entirely eliminate delays in workflow caused by power supply failure and consequently eliminate costs caused by delays, provide the possibility of creating detailed maintenance cost plans and optimize consumption of electric energy or possibly spent but unused electric energy in factories.


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