A Hybrid Model Approach for One-of-a-Kind Results

Novity’s proprietary TruPrognostics™ AI delivers highly accurate fault prognostics by combining first-principles physics models with Machine Learning in a unique hybrid model approach.

Data-Driven Methods

  • Require large amounts of relevant historical data
  • Not explainable
  • Fast
  • Scalable

Machine Learning

TruPrognostics Hybrid AI

Hybrid models with both physics and ML/DL:

  • Significantly reduced historical data needs

  • Reduce sensor counts through
    virtual sensors

  • Fast, scalable, generalizable
    and explainable

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Physics-Based Methods

  • Requires engineering data and
    subject matter knowledge

  • Very slow for real-time
    applications

  • Explainable
  • Generalizable
Physics-Based Models
Superior Accuracy

Superior Accuracy

Novity TruPrognostics AI considers the underlying physical principles that govern the dynamics of operating equipment. Our models better account for the non-linear degradation of machinery, providing high-accuracy predictions of Remaining Useful Life — predictions that ML models often can’t accurately deliver.

No Data – No Problem

Most organizations don’t have sufficient high quality historical data to enable truly predictive analytics and insights. Our hybrid model approach mitigates this data requirement because physics models are highly predictive while requiring only a fraction of the data points and no model training. Use your data most efficiently and effectively and minimize the time needed to get a new solution configured and deployed.

Data visualization
Virtual circuitboard

An AI that Speaks Your Language

Predictive analytics based on Machine Learning often fails to explain its insights. This well-known problem in the AI community is known as the black-box problem. Using hybrid model reasoning that combines the best of physics-based models and Machine Learning, our TruPrognostics AI provides explainable results that your operations team can understand and act on.