PRiSM Predictive Asset Analytics is now AVEVA Predictive Analytics.
We are making it easier to understand our products with new names. Learn more.
Reduce Downtime with Predictive Analytics
Improving reliability, performance, and safety are among the top priorities for industrial organisations and businesses today. They are focusing efforts and resources on controlling costs and maximising value from existing investments. AVEVA Predictive Analytics helps organisations gain the highest return on critical assets by supporting predictive maintenance (PdM) programs.
Our AVEVA Predictive Analytics solution provides early warning notification and diagnosis of equipment issues days, weeks or months before failure. This helps asset-intensive organisations reduce equipment downtime, increase reliability, and improve performance while reducing operations and maintenance expenditures.
Achieve Asset Excellence
of Millions Saved in Early Warning Catches
Reduction in Maintenance Costs
Improvement in Workforce Efficiency
Reduction in Unplanned Downtime
AVEVA Predictive Analytics Software
AVEVA Predictive Analytics integrates with a wide variety of control and monitoring systems and can be deployed on premise or in the cloud. The system is highly scalable and can be used to monitor a single asset, plant or hundreds of remote assets across multiple sites. Results of AVEVA Predictive Analytics models can be easily integrated with other business systems through web services.
Alerts and Notifications
Users can set alert thresholds to communicate when the deviation between actual values and predicted values exceeds allowed limits. Alerts can be managed in a variety of ways including by alert category, level, criticality, duration, and frequency. Each alert event is also directly linked to a graphical trend for that asset that shows the event data, threshold limits, and times when the values are in alarm. Relevant users and groups can be notified in real time if an asset is in alert status through AVEVA Predictive Analytics's customisable email notification capabilities.
The software includes an advanced calculation engine that provides the ability to develop simple and complex calculations to create pseudo or ‘virtual’ points. The results of these calculations can be used in AVEVA Predictive Analytics models, allowing for greater system flexibility. The calculations can automatically back-calculate, making historical data available for the monitoring period before the current calculation was created.
AVEVA Predictive Analytics includes a variety of advanced statistical and model-based comparison applications and business intelligence tools that enable users to spend less time searching for potential problems. Users have the ability to view the raw training data, see results of the model, compare the performance of similar assets of the same type, and view the effects of alerts. Diagnostic ability reduces the likelihood that an engineer will attribute abnormal operating conditions to the wrong variable.
AVEVA Predictive Analytics Transient Module provides the ability for online monitoring of abnormal conditions during a transient, such as startups and shutdowns. AVEVA Predictive Analytics is also able to automatically identify previous transient events from the historian, which is useful for comparisons.
Monitoring and Diagnostics
We offer comprehensive monitoring and diagnostic services remotely or on-site. We can train you to deploy, maintain and monitor your own models, or we can do the monitoring for you. Our team of experienced engineers can assist you with every step of the process from model training, to diagnostics, to best practices.
AVEVA Predictive Analytics software integrates with existing enterprise security systems. The system supports single sign on authentication, and administrators have the ability to limit user access rights and editing privileges at a granular level.
AVEVA Predictive Analytics in the Cloud
Boost your preventative maintenance strategy and monitor asset health and performance easily in the Cloud. Combine early warning of equipment issues with historical data and leverage AI to understand the relationships between sensors.
By adding predictive analytics to AVEVA Insight, our cloud platform for industrial operations, you can easily scale and share your preventative maintenance strategy with more people in your organization and enable a single lens of truth. This cost-effective software-as-a-service (SaaS) solution is simple to set-up, manage and use without additional IT infrastructure or staffing.
With AVEVA Insight you can:
- Better understand your business — know what is happening, what has happened, and what is likely to happen with immediate access to relevant data.
- Unlock your operational data from the control room and make it accessible when and where your people need it.
- Empower people to become active participants in real-time work streams and enhance collaboration between teams.
- Leverage data in AVEVA Insight to enable the creation of rich dashboards (including mobile), process and asset-centric visualization and alerting.
- Scale predictive analytics to fit your business. Leverage in-built automated analytics and condition-based rules, or additional capabilities such as guided or advanced analytics.
Like the rest of AVEVA Insight, the predictive analytics capabilities are simple to set up and use. The point-and-click model builder removes the need to write complex algorithms, meaning you don’t need to be a Data Scientist to get the returns.
Discover the Latest News and Resources
Check out the latest news, blogs, events, webinars, and success stories.
Jul 15, 2020
APM 4.0 with Predictive and Prescriptive Analytics
- Blog Post
Jan 29, 2020
Building an asset strategy doesn’t have to be a daunting task
May 30, 2019
Foundation to Real-Time Performance Management
- Blog Post
Apr 02, 2019
How New Digital Capabilities Can Transform Legacy Operational Technology
- Blog Post
- Asset performance
Nov 11, 2019
Industry 4.0 starts with Asset Performance Management 4.0
- Blog Post
May 23, 2019
Key success factors for adopting condition-based and predictive maintenance
- Blog Post
Sep 11, 2019
Maximize the value of your Historian data using Predictive Analytics
- Blog Post
- Asset Performance
Mar 20, 2020
Revolutionizing business processes with AI and Machine Learning