Asset Management
AVEVA™ Predictive Analytics
Eliminate Unplanned Downtime with AI-Driven Predictive Maintenance
AVEVA Predictive Analytics is an AI-powered predictive maintenance solution that helps maximize asset reliability and reduce unplanned downtime. By providing accurate time-to-failure forecasting and actionable recommendations, it enables organizations to address potential issues before they escalate. The platform features a no-code environment, making it easy for users to detect anomalies and performance deviations weeks or even months in advance—without the need for programming skills. With AVEVA Predictive Analytics, businesses can minimize repair times, extend equipment life, and ensure smoother, more efficient operations.
Eliminate unplanned downtime
Identify asset anomalies weeks or months before failure
Deploy at scale
Quickly roll out and scale predictive maintenance programs, accelerating time to value
Gain qualitative insights
From analytics to actionable tasks to mitigate failure and capture best practices
Features of AVEVA Predictive Analytics
01. Anomaly Detection
- Receive advanced alerts for early issue identification
- Utilize case management for knowledge capture and comprehensive reporting
- No programming or data science skills required to deploy, validate, and interpret models
- Predefined templates streamline configuration, deployment, and scaling
02. Fault Diagnostics
- Access real-time insights using customized data and diagnostic tools
- Quickly diagnose and resolve issues with consistent, timely analysis
- Identify asset fault conditions and pinpoint faulty or inconsistent sensors
03. Time-to-Failure Forecast
- Estimate the time remaining before a potential failure
- Prioritize repairs and plan maintenance strategies based on urgency
- Make informed decisions on whether to continue operations or initiate shutdowns
04. Prescriptive Guidance
- Access recommended actions from the AVEVA Asset Library (based on 22,000+ hours of experience)
- Improve decision-making for asset maintenance and performance
- Minimize repair time with predefined, expert-driven guidance
05. Security
- Seamless integration with enterprise security systems
- Supports Single Sign-On (SSO) authentication
- Granular user access control and editing permissions for administrators
06. Bring Your Own Algorithm
- Integrate custom algorithms using Python or similar languages
- Monitor all analytics in a unified application
- Enhance custom models with built-in features like data cleansing, fault diagnostics, forecasting, alerting, and prescriptive actions
How You Can Use AVEVA Predictive Analytics
End Unplanned Downtime
You can leverage time-to-failure forecasts to plan maintenance well in advance, allowing you to schedule repairs proactively and reduce overall maintenance costs. This approach also helps minimize disruptions to workforce operations and production, ensuring smoother and more efficient asset management.
Improve Sustainability
By detecting anomalies early, you can prevent equipment failures before they occur. Accessing accurate asset health insights helps reduce resource usage, while more efficient maintenance planning contributes to lowering overall energy consumption.
Maximize Reliability and Performance
You can identify potential equipment issues before they affect productivity by continuously monitoring asset performance in real time. Additionally, instant alerts notify you whenever equipment behavior deviates from normal conditions, enabling prompt action to maintain optimal operations.
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