sensorMiner

sensorMiner was developed by Interface & Control Systems, in collaboration with NASA and Florida Tech, to address the need for a sophisticated data mining toolset that uses past performance data to build a human-readable model to ultimately provide real-time fault detection capability.

 

The sensorMiner toolset is a unique approach using a combination of time warp, cluster, RIPPER (rule induction), Euclidean error, and state machine technologies. The result is a sophisticated temporal machine learner for real-time anomaly detection.

 

SensorMiner learns from past performance data and automatically generates a monitoring system. Conventional technology has made this process both a labor-intensive and error-prone task often misunderstood, even by experts. SensorMiner will correlate seemingly unrelated data automatically and provide rich graphical feedback to the user.

 

The ability to automatically make predictions or help people make decisions faster and more accurately - in real-time - has far-reaching implications that spread across industry boundaries. Any system that can be modeled and must be monitored for abnormalities is a candidate. 

 

Typical applications would include:  

  • Satellite Control Centers

  • Test Sets and Post-Test Analysis

  • Industrial Control and Monitoring

  • Medical/Biological Monitoring

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SensorMiner is built upon our portable, embeddable SCL architecture which has been proven in control centers for DoD and NASA.  The SCL architecture provides a clear separation of decision-making logic from procedural logic. Intelligent, real-time alerts can be generated based on any event whether directly received from sensor data or derived from algorithms.  With 24/7 reliability, full scalability, and plug-in capabilities for new, extended, or legacy technologies.

 

The links below provide a quick overview of sensorMiner features:

 

 Components

  • Time Warp
  • Cluster
  • RIPPER (Rule Induction)
  • Euclidian Error
  • State Machine

Related Links

 

 

 

 

 

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View Fact Sheet (.PDF)

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View Press Release (.PDF)

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View Technical Paper (.PDF)

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View QuickStart Guide (.PDF)

 

 

 

Questions?  Contact our ICS Staff

info@interfacecontrol.com

321-723-0399

 


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