Industrial gear units are drive technology heavyweights which need to handle large torques. Due to the large
forces involved, small defects which are not detected in time can quickly result in complete breakdowns. This
would not only be expensive, but also disastrous: major plant components would remain at a standstill until a
replacement was delivered and installed. Because of this, NORD DRIVESYSTEMS uses condition
monitoring and predictive maintenance to achieve maximum plant availability and high cost-efficiency.
While condition monitoring only enables the state of wear to be detected, predictive maintenance can ideally
enable a maintenance date to be planned well in advance. This means higher plant availability, reduced
costs, longer service life of the drives, and above all no unplanned downtimes – an ideal concept, especially
for industrial gear units, as these drive technological heavyweights are often used in highly complex plants
in which downtimes would have particularly serious consequences.
Data analysis instead of just data reading
This requires intelligent frequency inverters with integrated PLCs, which can take autonomous decisions and
evaluate motor and gear unit status data from virtual and physical sensors. With the aid of virtual sensors
based on mathematical algorithms and the PLC which is integrated into the NORD frequency inverter, in
combination with the known physical characteristics of the gear oil, the lifespan of the oil can be determined
with sufficient accuracy from the calculated drive output which is determined from the measured electrical
data. This allows an assessment of the degree of use of the gear oil and the predicted date for the oil
change.
Vibration frequencies provide clarity
For industrial gear units, physical temperature and vibration sensors are both economical and advisable.
Especially vibration sensors offer a range of advantages. Detailed manufacturers’ databases exist for all of
the bearings which are installed in industrial gear units. These databases contain the characteristic vibration
frequencies for all components of each bearing type. The individual frequencies can therefore be clearly
identified and attributed to particular components. The frequency spectrum can be analysed on the basis of
the time signal or an FFT analysis (Fast Fourier-Transform). This not only enables the ideal or necessary
maintenance time to be calculated, it also indicates the location of the fault and which replacement parts are
required.
Cloud connection for networked service
The autonomous drive communicates its status data to a secure cloud. There, this data is available for
analysis with filter and analysis tools, so that monitoring of the drive units can be carried out from anywhere
in the world. The data are transparently presented in a browser-based web interface and the plant can be
viewed at a glance in a clear 3D illustration.
