datarpm-energy

Energy Industry: Enhance Efficiencies and Increase Asset Performance

Optimization through digitized means can enhance profitability by 20–30%.

Ensure a stable supply of energy to your customers and sustained profitability.

Cognitive Anomaly Detection and Prediction automates machine learning for lower operating costs and higher asset uptime.

Get the Maximum From Legacy Infrastructure and Ensure Up Time

Progress DataRPM’s Cognitive Anomaly Detection and Prediction help you analyze real-time as well as historical machine data along with external influencers such as weather to create a holistic model that helps you get the most from legacy infrastructure and ensure continuous operations.

energy-anomaly-detection-min

Anomaly Detection

The key is anomaly detection—the process of identifying outliers in a normal range of performance. Historical data, current data and external influencing factors are analyzed simultaneously to establish baselines for asset performance on an ongoing basis.

energy-predictive-maintenance-min

Predictive Maintenance

When implemented through unsupervised machine-learning, anomaly detection can help predict future anomalies before they happen so you can take appropriate action. The result is assets that last longer and perform at their best—helping you avoid costly repairs and downtime.

Benefits

Enhanced Equipment Effectiveness
70% increase in asset health visibility
30% higher output
20% improved asset life
Improved Profitability
90% greater return on investment
50% savings on maintenance
30% lower operating costs
Minimized Service Disruptions
90% fewer unplanned outages
40% improved service reliability
20% faster problem diagnosis
Talk to an Expert
datarpm-energy-success-story
Success Story

Fortune 100 Manufacturer Unlocks Competitive Advantage for Inventory Optimization

DataRPM CADP analyzed 10 years of machine data and predicted which parts were likely to fail and the reasons why using an automated predictive maintenance approach.

Read the Story
progress-cadp

Progress Cognitive Anomaly Detection and Prediction

Detect and predict anomalies by automating machine learning to achieve higher asset uptime and yield maximization.