PredictEdge

To understand a machine’s behaviour and measure its performance to be able to predict its maintenance requirements and breakdowns, a digital twin with a value based visualization is required.

Simulating an asset’s performance using digital twins to predict maintenance requirements and breakdowns for optimal efficiency and life cycle.

PredictEdge – A Continuous Process

Unique Proposition

Built on an open architecture platform with developer APIs for each asset’s unique requirements.

How does PredictEdge Work?

The platform creates digital twins using an asset’s critical operating parameters, maintenance and operational history which are modeled to predict breakdowns, the remaining useful life (RUL) and generate dynamic maintenance calendars.

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