SmartSignal Brochure

Protected by over 40 patents, the SmartSignal solution identifies impending equipment failures early, often weeks or months before other detection systems. For all critical rotating and non-rotating equipment, across all OEMs and across your fleet, the SmartSignal software can detect the broadest range of problems across the widest variety of assets, load ranges, and failure modes. With these early warnings, SmartSignal customers can reduce overtime and damage to How the SmartSignal technology works critical equipment and avoid unexpected shutdowns from catastrophic failures. The SmartSignal solution creates and monitors unique, personalized, empirical models for each piece of equipment at the serial-number level. The models relate groups of sensors based on actual performance data of each machine in its unique operating context, with dynamic bands across all known loads, ambient conditions, and operating contexts. Example of how it works The SmartSignal solution avoided damage to a hydropower turbine by detecting runner cavitation caused by an issue with the air admission valve that was stuck in closed position while unit was in service. This issue was adding to preexisting known sole plate sticking issue. This detection allowed the operators to fix a problem which would have otherwise remained unnoticed and could have led to wiping bearings and to runner cavitation damages. The value of this catch was estimated at $65,000 - $130,000. Early detection based on operation history Associated parameters from monitored assets are modeled together. In this figure, Blue is True (actual reading) and Green is Good (model predicted reading). It is the overall behavior that determines what each individual sensor is “expected” to indicate. All the details you need to get right to work Advisories delivered through email notifications give priority, apparent cause, and associated detail. Updates are sent as conditions evolve. The software can detect any significant patterns of deviation from expected. From experience with over 12,000 rotating and stationary assets, anomaly notifications are compared with precursor signatures based upon pattern and persistence. These provide prioritized diagnostics with a localized, apparent cause for each developing problem. For all problems identified, advisories are issued, supported by charts of pattern differences, so reliability and maintenance experts can track and diagnose the developing failures.