Cognitive Predictive Maintenance Platform

Cognitive Predictive Maintenance (CPdM) is unique in that it taps into the flood of data coming from every sensor, combines it with historical asset performance and other external information to analyze data holistically. The result is an environment of improved real-time visibility that enables everyone, from frontline employees to top management, to make insight-driven decisions that are highly accurate, fast and scalable.

  • platform

    Prediction Timeframe

    Predicted Stage (Criticality) For All
    Connected Car (VIN numbers)

    Available Info For
    Selected Car

    Current Sensor Readings
    For Selected Car

    Predicted Sensor Readings
    For Selected Car

    Components Requiring Predicted
    Maintenance For Selected Car

    Maintenance Alerts
    With Recommended Time To
    Maintenance For Selected Car

  • gasTurbines

    Prediction Timeframe

    Predicted Failures For All Gas
    Turbines

    Available Info For
    Selected Gas Turbines

    Anomales Detected

    Characteristics Of Anomalies

    Probability Of Diiferent
    Failures

  • setTopBoxes

    Prediction Timeframe

    Predicted Stage (Failure Risk)
    For All Set Top Boxes

    Available Info For
    Selected Set Top Box

    Current Sensor Readings
    For Selected Set Top Box

    Predicted Sensor Readings
    For Selected Set Top Box

    Components Requiring Predicted
    Maintenance For Selected Set Top Box

    Maintenance Alerts
    With Recommended Time To
    Maintenance For Selected Set Top Box

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RECEIVE

Sensor data is sourced from the data lake
across time stamps and organized with domain
expertise, prior failure experiences and other
external operating conditions.

CPdM Advantage:

Taps data from all sensors and time
windows ensuring all crucial
information is captured.

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REFLECT

Data is cleaned and aligned through
feature engineering and meta-learning to
extract real value from the data.

Combinations of sensors are analyzed
identify potential failure areas, forming
revealing patterns and anomalies for accurate
prediction of potential failure areas.

An ensemble of predictive models are
created and run to identify the best fit
model.

CPdM Advantage:

Automation drives faster and enhanced
scalability.

Predicted and Resolved

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RESOLVE

Powerful insights are derived that give
real-time visibility into the functioning of
every part, product, and line enabling
operators to make informed decisions.

CPdM Advantage:

Solutions are recommended based
on insights drawn from data analyzed
that has been automatically analyzed.

Nullifying Chances of Failure,
CPdM is the Only Profitable Way to Go!

  • Easy Customization

    Assets are modelled individually to detect anomalies.

  • Speedy Insights

    Automation gives ready-to-use insights in a matter of hours/days—not months.

  • Enhanced Scalability

    Automation enables flexibility for varied scale deployments.

  • Flexible Access

    Available in the cloud or on premise.

  • Heightened Accuracy

    Minimizing manual interventions improves correctness of prediction.

  • Auto-generated Solutions

    Recommended solutions are based on cognitive predictive analytics.

  • User Friendly

    Inbuilt workflow templates make CPdM accessible by non-data scientists.

  • Self-improving Results

    Continuous machine self-learning provides better results each time.