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What Makes SmartSignal’s Technology Different?_

With SmartSignal, every piece of equipment is unique, as reflected in its own historical data.

For every piece of equipment, our data-driven modeling puts into context the normal operating relationships among all relevant parameters, such as loads, temperatures, pressures, vibration readings, and ambient conditions. In real time, it compares actual sensor readings to that particular machine’s normal, predicted values.

SmartSignal detects and identifies events and abnormal behavior by the differences between real-time, actual data and predicted, normal behavior—not by thresholds on actual values. We then provide exception-based notifications of developing problems to users, along with diagnoses and prioritizations. This enables information management by exception. We do this automatically, continuously, and relentlessly, 24 hours/day.

Why Data-Driven Modeling?

Since every piece of equipment is unique, analyzing its data is the only way to determine its unique operating profile. SmartSignal software screens data to determine the baseline operating profile for every piece of equipment across all known ambient conditions, loads, and operating contexts. 

What Makes SmartSignal’s Technology Better?

Our technology, protected by over 40 patents, overcomes the problems that plague others.  It is quick and easy to implement. It effectively models linear, non-linear, and discontinuous data. It’s robust enough to identify and compensate for bad sensors. And it easily scales to handle large deployments.
 

 

"Most companies have already invested in sensors and expensive infrastructure - including thermography, vibration analysis, a historian and more. The problem is: these traditional monitoring tools offer too much data and too little intelligence. SmartSignal’s predictive analytics makes sense of them all. It works on top of them and analyzes all existing data from all sensors across all OEMs and critical equipment in all modes of operation, and quickly and easily provides the intelligence needed to operate a more effective business model."

Oil & Gas Product News
March 2009

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