SAM4 is the Smart Condition Monitoring solution for AC induction motors and rotating equipment that detects upcoming electrical and mechanical failures at an early stage.
SAM4 monitors assets at scale, by automating analysis based on concepts borrowed from Motor Current Signature Analysis. Collectively, the algorithms allow SAM4 to process large amounts of data and provide accurate analysis across a wide variety of motors, assets and circumstances without editing a single line of code.
This use case is published in relation to our AIDA project, which researches how the Artificial Energy Intelligence solution (AEI) of EnergQ can be extended with dynamic (transient) process information to improve its the performance in case of non-steady state operations.