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Predictive, prescriptive, prognostic

Lumada APM provides health and performance insights to prevent critical asset failures while optimizing asset lifecycle costs. 

Lumada APM monitors asset health by comparing conditional readings with asset-specific data modeling to provide a comprehensive view of fleet performance. The solution uses advanced machine learning technology to predict, prescribe and prioritize asset maintenance, management and investment decisions based on performance indicators. Lumada APM ensures that “maintain, repair or replace” decisions are soundly based on actual asset conditions and their criticality to operations.

 

Industry-leading performance models incorporate the expertise of over 40 years of servicing critical industrial equipment of all manufacturers

See for yourself what Asset Performance Management can do for you.

Hear from your peers

Ameren Illinois

Moving to condition-based maintenance with Lumada APM

Inner Mongolia Power Company (IMPC)

is using Lumada APM to reduce downtime and outages, ensuring reliable delivery of power to the 24 million people 

UK Power Networks Services

is enabling a new era of asset performance and digitalization for the UK’s HS1 line with insights from the track to the boardroom  

Watch asset performance management demos and videos

Asset Performance Management demo:

predictive, prescriptive, prognostic

A few words on using the data you have, with Bryan Friehauf, Head of Enterprise Software Solutions, Hitachi ABB Power Grids

Asset intelligence:

Get it sooner than you think

 

Prognostic forecasting of asset condition for nuclear power generation

Prognostic forecasting of asset condition for hydro power generation

Increase your APM IQ

Digitalization and the future of asset performance management

Use data to anticipate issues

Deployment of a prognostic asset management solution at a fossil-fired power plant

Deployment of a prognostic asset management solution at a hydroelectric plant

Deployment of a prognostic asset management solution at a copper mine

Deployment of a prognostic asset management solution at a railway company

Deployment of a prognostic asset management solution for wind turbines

Contact us

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