Backed By Aveva
AI-powered predictive analytics for early equipment failure detection and operational efficiency.
AVEVA Predictive Analytics leverages advanced pattern recognition, machine learning, and neural network algorithms to monitor equipment health and predict failures before they occur. The platform learns each asset’s unique operating profile, analyzes real-time and historical data, and alerts users to subtle deviations from expected behavior. It provides root cause analysis, fault diagnostics, and actionable insights for reliability, efficiency, and performance improvements. The solution is scalable from single assets to enterprise-wide deployments and integrates with a variety of data historian and control systems, supporting both on-premise and cloud deployments.
Detects subtle deviations from normal equipment behavior
Provides advance notice of potential failures
Assists in identifying failure causes
Delivers actionable fault diagnostics
Monitors single assets or hundreds of remote sites
Cloud and on-premise deployment
Connects with data historians and control systems
RESTful API for business system integration
Intuitive, graphical interface
Model templates for rapid deployment