GE Energy Bently Nevada AnomAlert motor condition monitor

Part of the Bently Nevada condition monitoring product line, AnomAlert uses motor voltage and current spectral analysis to provide predictive maintenance information for three-phase AC electric motors. Without the need for conventional monitoring sensors, the AnomAlert will detect mechanical and electrical anomalies in motor and machine train operation. Detailed information is presented by the AnomAlert standalone or System 1 software, which provides the user with an early warning of mechanical and electrical anomalies, recommendations for maintenance actions and a range of diagnostic analysis tools to verify and correct problems.

Once installed, an AnomAlert system will first automatically initiate a self-learning phase, where it builds up a model, including information about all the electrical and mechanical characteristics of the motor and its driven system. When the reference model is completed, a condition assessment report is created, identifying any existing problems and recommending corrective actions. AnomAlert then switches to a monitoring mode in which a new model of the system is created every 90 s and compared statistically with the reference model and potential faults identified and characterised. The system is then able to assess the severity of the problems, provide local indications and suggest what action should be taken.

Typical faults that can be identified by AnomAlert include insulation breakdown, electrical supply problems, internal electrical problems, mechanical looseness, imbalance, misalignment and bearing deterioration. The modelling supports multiple operational modes of the motor enabling process or load-induced anomalies to be categorised and identified correctly.