Move from Reactive to Predictive Maintenance
GE Digital Predix Asset Performance Management offers SmartSignal Predictive Analytics, empowering users to transition from reactive maintenance practices to predictive maintenance. By harnessing AI/ML-driven models, SmartSignal detects, diagnoses, and forecasts emerging equipment failures, allowing proactive maintenance strategies to prevent downtime.
Benefits of SmartSignal Predictive Analytics
SmartSignal aids in reducing unplanned downtime by providing early and accurate detection of equipment issues, thereby avoiding disruptions in operations and financial losses. Additionally, this solution enhances equipment lifespan by forecasting the timing of malfunctions, enabling precise maintenance planning. Operational efficiency is also boosted through the prevention of unexpected shutdowns and catastrophic failures, ensuring continuous operations and increased reliability.
Empowering Users with AI/ML-Driven Digital Twin Blueprints
Unlike generic AI/ML solutions, SmartSignal offers access to powerful AI/ML-driven Digital Twin blueprints that leverage GE Vernova failure mode knowledge. This feature accelerates time-to-value across investments by providing detailed insights into equipment health and performance. Moreover, SmartSignal is equipment-agnostic, offering scalability and flexibility for diverse operational environments.
Advanced Analytics for Operational Optimization
SmartSignal's predictive analytics cover over 350 equipment types, facilitating quick setup and seamless integration into existing workflows. By leveraging Digital Twins to preempt failures, organizations can save significant time and costs associated with reactive maintenance approaches. With proven results in avoiding customer production and mechanical losses, SmartSignal offers an average customer ROI of 3.41 months.
Enhanced Anomaly Detection and Diagnostic Analysis
SmartSignal's anomaly detection models compare real-time sensor data to predicted values, enabling the identification of abnormal equipment behavior. By providing precise diagnostic analysis based on pattern differences and localized causes of problems, SmartSignal assists users in tracking and resolving developing failures efficiently.
Predictive Analysis for Time-to-Action Insights
Through forecasting methods and time-to-action analysis, SmartSignal enables engineers to predict equipment alarm limits and schedule maintenance interventions proactively. This intelligence allows teams to prioritize corrective actions and minimize downtime costs, enhancing overall operational performance and reliability.