Asset Performance Management

Moving to condition-based maintenance with Lumada APM

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

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

Predictive, prescriptive, prognostic

Bryan Friehauf, Head of Enterprise Software Solutions, Hitachi Energy

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Prognostic forecasting of asset condition for nuclear power generation

Prognostic forecasting of asset condition for hydro power generation

This paper will look in more detail at the context of and requirements for APM processes as this field evolves and incorporates the advancements of big data.

With Hitachi digital energy solutions, power companies can get more out of their data than ever before when they digitize their critical assets, resulting in fewer outages, smarter cities, and above all, more satisfied customers.

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

Approximately 68% of time-based maintenance provides no added value and/or does not lead to corrective action. There is a better way

Power generators need to ensure sufficient power-generating capacity in stable operation to meet ongoing commercial commitments, and to supply power during forecast peak demand periods.

Hydropower stations’ assets include hydro-turbine-generator units, transformers and control equipment. Avoiding critical malfunctions and failures is essential.

Take steps to reduce costs and equipment malfunctions with condition-based asset management.

Deployment of a prognostic asset management solution at a railway company.

This wind power case study features prognostic asset management for wind turbines at one of Europe’s market leaders in both onshore and offshore wind power generation.