A continuous condition monitoring (CM) for defect detection of drive elements can reduce maintenance costs and significantly increase the safety of the application.
In practice, the analysis of vibrations is the predominant method to diagnose damages in rolling bearings. Current research focuses on condition monitoring by using the motor current signals of the electric driving machine. The particular aspect of the method presented here is that the drive motor is used as a sensor, thus making the implementation of additional expensive sensor technology superfluous. The objective is to identify defective bearings by the signature of the stator current signal.
The purpose of the test rig is the reproduction of relevant faults and damages so that the required data base can be obtained through experiments. The data base provides the basis for the development, validation and training of diagnostic algorithms for condition monitoring of rolling bearings.
The test rig is a modular system generating the measurement data required for the analysis of corresponding signature and damage characteristics derived from motor current signals. The basic components of the test rig are the drive motor (a permanent magnet synchronous motor) acting as a sensor, a torque measurement shaft, the test modules and a load motor (synchronous servo motor).