Early Warning & Diagnosis via Artificial Intelligence


InSource leverages AVEVA’s Predictive Asset Analytics software to deliver a solution with early warning notification and diagnosis of equipment issues days, weeks or months before failure. This helps asset-intensive organizations reduce equipment downtime, increase reliability, and improve performance while reducing operations and maintenance expenditures. AVEVA’s proprietary algorithm called OPTiCS uses Advanced Pattern Recognition (APR) and machine learning technology.


aI: predictive to prescriptive & beyond whitepaper


The algorithm uses artificial neural network technology and allows users to create operational profiles with a specific set of inputs and outputs to test how the outputs will evolve in the future through data playback.The result is that the system predicts costly failures that human subject matter experts would normally miss.


Ultimately, machines don’t have to fail. The modern industrial enterprise is generating massive amounts of data. Predictive Asset Analytics turns that data into actionable insight to help avoid equipment failure and keep machines at optimal performance.


What you need to know about our Predictive Asset Analytics Solution

What does our Predictive Asset Analytics Solution do?

Improving reliability, performance, and safety are among the top priorities for industrial organizations and businesses today. They are focusing efforts and resources on controlling costs and maximizing value from existing investments and assets. State-of-the-art Predictive Asset Analytics technology helps organizations gain the highest return on critical assets by supporting predictive maintenance (PdM) programs.



What makes our Predictive Asset Analytics solution Unique?

Part of and edge to enterprise portfolio, you can begin your asset performance with us at any level.  Before your organization is ready for predictive maintenance, you will be able to take advantage of these advanced capabilities infused into many of our solutions:

  • Condition Based Maintenance
  • Advanced News feed
  • Supervised Machine Learning
  • Integrated Connected Content (Asset Library) for closed loop prescriptive guidance
How much does it cost? What type of ROI should I expect?

From $500,000+savings per year through identification of pump inefficiencies for thermal performance improvements to $50,000+ avoided by early identification of improper control valve positioning

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Where is a Predictive Asset Analytics Solution typically used?

For large organizations with multiple sites such as utilities, airports, ports, rail, mining, oil & gas where very critical assets provide the backbone of the business and reliability is paramount, Predictive Analytics are the obvious choice. But depending on your equipment type, application of this technology to assets is virtually limitless.

Bernie Cook, Director, Duke Energy

The Duke Energy SmartGen Program (including AVEVA Predictive Analytics & Health Monitoring Software) saved $31.5 million in repair costs during the first 3 years of operation.

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