With the cost of unscheduled maintenance accounting for 30-60% of total operations and maintenance (O&M) costs, increasing planned activities provides significant economic opportunity.
Predictive analytics with early, accurate warnings offer opportunities to:
Manage risk and create relevant valuation models to accurately predict the life remaining on expensive capital parts.
Stay a step ahead of challenges with equipment such as bearings, gearboxes, inverters, trackers, transformers and switchgears.
Say goodbye to calandar-based reactive O&M, while ensuring optimum safety, startups and operation.
Ensure optimum safety, startups and operation. Manage risks across the network and protect critical assets.
When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 l...Case Study
Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate ...Video
Wind and solar farms must have prescriptive analytics to effectively operate and maintain optimal performance. Learn how you can reduce unplanned downtime and increase profitability at remote sites.Blog
It is critical for combined cycle power plants to control costs and increase efficiency. In order to accomplish these goals, these plants must make every effort to avoid costly shutdowns, including im...White Paper
Find out about the margin improvement opportunities European refining and chemical leaders were exploring at our recent seminar in Amsterdam.Blog
Prescriptive analytics based on machine learning and multivariate analysis are enabling power plants to optimize equipment life and extend their outage intervals. Free yourself from the recommended sc...Blog
View this infographic to see how prescriptive maintenance early adopters are reducing downtime and improving reliability – with results in as little as 2 ½ weeks.Infographic