NASA Developed Technology

Artesis MCM uses advanced NASA-developed technology to provide automated set-up and fault diagnosis with minimal user intervention. The system uses a mathematical modelling technique to detect and diagnose faults in electrical motors and connected equipment. The mathematical model, which consists of a set of differential equations representing the electromechanical properties of the system, is built up during the self training phase of operation. During this phase, the three input voltages and three output currents are continuously measured and processed using system identification algorithms which determine the model parameters under a range of operating states. Once complete, Artesis MCM has a complete model representing normal behaviour of the machinery in a full range of operating states.

When a fault starts to develop in either the motor or the driven equipment this has an effect on the output current waveform, making the real system behave differently from the model system. For example, small radial and torsional displacements resulting from an imbalance in a driven fan are transmitted through the coupling to the motor, changing its electrical characteristics in a measurable and repeatable way. This allows Artesis MCM to use the motor as a sensor that can detect faults in both the motor and the driven equipment.

When monitoring, Artesis MCM continuously compares model parameters with those held in the reference model created during the self training phase. By matching changes in each of these parameters against the equivalent physical characteristics of the motor or driven system and assessing the severity of the change Artesis MCM determines whether the present condition of the equipment is normal, and if not what action should be taken. This approach not only allows much more sensitive and reliable alerting than is possible with conventional level-alarms, but also recognises the type of defect causing the problem.