Evaluating high frequency drivetrain issues e.g. bearing currents and stator winding insulation degradation has another physical interpretation then the classical low frequency electrical diagram modelling. To gain a full understanding of this phenomenon and -more important- to detect these issues online and estimate the severity of any destructive condition, scientific modelling is applicable. Together with local technical universities, we investigate this subject on an academic, yet industry relevant, level.
ORBITS is currently active in developing a testrig on which electrical and mechanical drivetrain malfunctions can be emulated in a reproducible and quantified way. This for four different electric machine topologies and several mechanical transmissions. By including several Variable Frequency Drive types, a full emulation flexibility is obtained to test and validate new diagnostic algorithms.
Being active in electric machinery fault diagnostics regarding a relatively new condition monitoring technology such as Electrical Signature Analysis implies that there is still a range of opportunities in terms of algorithm optimalisation and transformation.
For example, ORBITS has a unique algorithm in order to retransform the acquired voltage and current signals into electrical vibration signals representing the torsional and lateral vibrations of the rotor with respect to the stator. Additionally, a novel approach allows us to define the electric machine as a dynamic system, independent of voltage and current signal variations. Continuous improvement of our diagnostic capabilities is one of our key strategic daily activities.