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This presentation will seek to introduce a technology solution that provides a continuous, non-intrusive,
scalable, predictive monitoring tool for electrically driven assets and entire power trains. The Predictive Intelligence Platform (PIP) tracks and analyzes small and slowly changing variations in the distortion levels of the monitored electrical signals, the three phase voltages and currents. The software distinguishes sources of waveform distortion, whether caused by changes in incoming grid power, driven process or asset condition and identifies each of the sources.  The software continuously acquires electrical waveforms at the motor switches with high sampling rates. No sensors are placed on the monitored machines. The software continuously
analyzes and interprets these waveforms for impending mechanical or electrical faults and energy efficiency assessment. Impending faults and related details are provided through a web-based graphical interface and other standard interfaces providing a seamless integration with leading Enterprise Asset Management suites.