AVEVA Predictive Analytics
Early warning of equipment failure and performance issues.
Overview
AVEVA Predictive Analytics, formerly known as PRiSM, is a software solution that uses machine learning and advanced pattern recognition to provide early warning of equipment and process issues for industrial operations. It builds a Digital Twin of an asset's normal operating behavior and detects subtle deviations to alert operators and engineers days, weeks, or months before a potential failure, allowing for proactive maintenance.
✨ Key Features
- Advanced Pattern Recognition
- Automated Model Building
- Early Warning Notifications
- Case Management & Diagnostics
- Integration with PI System and EAM
- Cloud and On-Premise Deployment
🎯 Key Differentiators
- Unsupervised machine learning that requires no failure history to build models
- Tight integration with the AVEVA PI System and wider portfolio
- Proven scalability in large, asset-intensive enterprises
Unique Value: Provides highly accurate, early-warning detection of equipment problems for critical industrial assets, enabling a shift from reactive or preventive maintenance to a truly predictive and proactive strategy.
🎯 Use Cases (5)
✅ Best For
- Predicting failures in critical rotating equipment (turbines, pumps, compressors)
- Monitoring the health of fixed assets like heat exchangers
- Optimizing maintenance schedules based on asset health
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Discrete manufacturing with short-cycle assets
- Companies without access to historical operational data
🏆 Alternatives
Its unsupervised learning approach is a key differentiator, as it can be deployed on assets without extensive failure data, unlike many supervised learning techniques. Its integration with the PI System is a major advantage for existing customers.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Varies by support plan tier)
🔒 Compliance & Security
💰 Pricing
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