sensorMiner

Interface & Control Systems, Inc. (ICS) routinely serves customers who develop monitoring/diagnostic software for complex spacecraft and industrial applications. As a result, they have long sought automatic means for extracting expert system rule sets from raw data so it might better support its commercial SCL product line.

sensorMiner was developed by ICS, 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. 

 

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

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

·       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, SCL provides a simple solution.

 

The links below provide a quick overview of sensorMiner features and technologies:

 Components

  • Time Warp
  • Cluster
  • Rule Induction
  • Euclidian Error
  • State Machine

Related Links

 

 

 

Tool Kit for Anomaly Detection in Physical Time Series

 

NASA Success Story
Automated Learning for Real-Time Expert System in Monitoring and Control

 

 

SMFactSheet.jpg (85291 bytes)

Fact Sheet (.PDF)

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SMPressRelease.jpg (26216 bytes)

Press Release

 

View Users Manuals?

 

 

Questions?  Contact our ICS Staff

info@interfacecontrol.com

321-723-0399

 


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