Power generation and distribution

PREDICTIVE SIGMA INDUSTRIES

Ensure continuity and quality

In a service as critical as energy, all maintenance strategies are focused on ensuring the continuity and quality of the power supply.

It shares with other critical services, such as water and telecommunications, a facility management in large, often isolated and neglected geographical extensions, and exposed to intense weather conditions. All this generates unforeseen failures that require constant maintenance.

Likewise, in urban and industrial areas, the number of checkpoints is increasing, and there are, for example, thousands of transformers in a given area. Traditional maintenance methods do not allow all of them to be covered.

Turbines

Predict mechanical problems in turbines due to the wear in power generation by means of non-invasive methods and non-destructive monitoring in real time.

Cables

By installing high-precision sensors predictive-sigmaalong the power line it is possible to detect damage to the insulation of electrical distribution cables.

Transformers

Know through electrical analysis problems associated with mechanical systems such as filtration. Identify overloads or obstructions, for example.

Power generation and distribution

How predictive-sigmait adds value to the energy sector

Why choose Predictive Sigma?

Ensure Continuity of power supply

The Predictive maintenance solution is ideal for the electricity generation and distribution sector as it allows you to anticipate possible failures that may occur in your network and take action to prevent them.

Reduce your maintenance costs. It's that simple.

By adopting predictive maintenance strategies with predictive-sigma, you will be able to perform only the necessary maintenance actions, no redundant. Allocate your resources intelligently and schedule your maintenance routes intelligently.

Ensure the quality of the supply

Predictive maintenance predictive-sigmaallows the detection of failures in very embryonic states. Any assets in your facility that begin to deviate from their intended operation will be identified.

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