New Watchdog Agent Prognostics Toolkit for PHM applications

Dr Jay Lee, Professor and Director of the Center on Intelligent Maintenance Systems, states: "Companies are looking for a systematic approach to rapidly develop and deploy prognostics for failure prevention, health monitoring and machinery prognostics. The new Watchdog Agent Prognostics Toolkit for NI LabVIEW provides an easy-to-use solution for predictive maintenance and prognostics."

The Watchdog Agent toolkit gives engineers a ready-to-run prognostics package that can greatly increase engineering efficiency for developing PHM applications. The toolkit works with the advanced signal processing capabilities of LabVIEW and the extensive analysis of the NI Sound and Vibration Measurement Suite. It provides a set of algorithms including logistic regression, statistical pattern matching, a self-organising map, a support vector machine and a Gaussian mixture model. Engineers can use these algorithms to create machine and component status descriptors of operating states and failure modes. The algorithms convert multiple field sensory readings into summarised health information values for efficient monitoring. The toolkit also includes a health radar chart that displays organised health values of multiple machine components on a single display.

In addition to integrating with the Sound and Vibration Measurement Suite, the Watchdog Agent toolkit can read history data collected from the NI measurement hardware including NI CompactRIO, CompactDAQ, PXI and PCI. It also integrates with the IOtech eZ-TOMAS Technical Data Management Streaming (TDMS) data plug-in, vibDaq from CalBay Systems or any other sensory data acquisition systems based on NI TDMS data files.

Find out more and download the Watchdog Agent Toolkit for NI LabVIEW at www.ni.com/watchdogagent.