Optimization of a Condition Monitoring System
with ibaInSpectra and ibaRotate
A Condition Monitoring System (CMS) is supposed to monitor the wear of two motors. The CMS calculates characteristic values at regular intervals under certain measurement conditions, which serve as status indicators for the individual machine components, and records these as a long-term trend.
After a test phase it became apparent that the standard calculations and settings of the CMS did not provide reliable characteristic values for wear detection due to the conditions on site. This phenomenon now had to be investigated. With the iba tools for vibration analysis, the recorded trends and raw data were therefore analyzed more detailed in order to configure the Condition Monitoring System to deliver reliable characteristic values.
of characteristic values
through combination of process and vibration analysis
Root cause analysis
for proactive maintenance
In the long-term trends, the characteristic values increased at some points in time by a factor of more than 10. Each characteristic value was affected at different times. A temporal correlation could not be recognized. However, the representation of the characteristic values as an X/Y diagram in ibaAnalyzer showed clear conspicuities. The calculated characteristic values were displayed sorted according to the speed at which they were recorded. It could now be seen in the X/Y diagram, that certain characteristic values were increased, especially in specific speed ranges.
Therefore, the raw data of a DAT file were examined more closely for speed-independent frequencies. In fact, a high frequency including two harmonics can be recognized in ibaRotate. Although the cause was found, it was not possible to resolve the problem technically.