Many utilities rely on traditional time-based maintenance methods. Scheduled maintenance helps detect obvious or critical-level issues, yet it can miss hidden underlying conditions that could lead to unplanned downtime. At the same time, the organisation is buried in data with potentially millions of data point inputs for asset health analysis and performance forecasting.
To prevent failures, optimise maintenance and repair prioritisation, reduce costs, and meet the challenges of an aging infrastructure and workforce in an evolving energy environment, utilities need the technology to recognise and arrest asset failures before they happen.
Our advanced technology portfolio let utilities leverage Hitachi Energy’ decades-deep industry knowledge via the embedded asset performance model at the heart of our Lumada APM.
Be proactive rather than reactive: Industry leaders are adopting APM to stay one step ahead at all times, identifying and solving problems before they arise.
Directly simplify day-to-day operations with aggregated analysis and built-in machine learning mechanisms.
Turn unplanned outages into controlled and scheduled maintenance interventions.
Optimise overall maintenance economics and deliver higher reliability and efficiency.
We provide ongoing support to fully demonstrate the true impact APM has on your organisation’s assets by identifying, prioritising and resolving risks before they materialise. The ‘‘what-if’’ scenarios help to set the optimal operating conditions to extend assets’ remaining useful life.