Easy, Non-Invasive Installation
Veros ForeSight is easy to install, non-invasive, and self-learning. The system interfaces at the Motor Control Center (MCC) and gets to work. Installation takes 90 minutes at motor switches or the VFD enclosure. Just clamp the current transformers on motor lines or relays and connect to bus secondary voltages or motor side VFD conductors, enter motor nameplate information, and turn it on. ForeSight requires no configuration.
Powerful, Proprietary Algorithms
The software uses high frequency electrical measurements and statistical signal processing algorithms based on nonlinear regression and correlation methods, and on machine learning algorithms to arrive at key metrics used to detect and track mechanical problems developing in the entire power train.
The source of information for mechanical fault detection is in the air gap flux variations. Depending on the nature of developing mechanical problems, the radial, axial and azimuthal (or torsional) variations in the motor air gap magnetic field produce corresponding distortions in the motor current.
Electrical problems are detected by empirically developing and tracking system impedance models. Classification and isolation of faults is accomplished by a combination of machine learning methods based on classifiers and specific spectral fingerprints of faults.