Detection of Bearing Failure Signals by Band Scanning

15 Nov 2015

G-TECH Insights Newsletter: 2015-11-15 

This edition of G-TECH's Insights Newsletter looks at the detection of bearing failure signal using band scanning. We also demonstrate using Shop-Pro software to optimize cutting conditions to significantly increase tool productivity. 

Detection of Bearing Failure Signals by Band Scanning

Envelope Spectrum is one of the most commonly used techniques to detect bearing damage signals. It is based on the principle of using a band pass filter or envelope filter to remove suspicious high frequency signals, and then calculate the envelope spectrum to determine the frequency of bearing damage characteristics.

The most common problem encountered in this inspection method is that if the appropriate band pass filter is not selected, sometimes the bearing signal obtained will be unclear or even missing.

G-TECH uses a unique Envelope filter scanning method, which means that the envelope spectrum obtained by using various band filters is presented on a 3D waterfall chart to see which filter should be used to obtain the clearest results. Alternatively, if no bearing characteristic frequency is found after the scan, this confirms that the bearing is not damaged.

For example, in the case on the left, after scanning, it is found that setting the filter at 3.25k Hz or 12.5k Hz gives the clearest indication of the frequency of the damaged inner ring of the bearing.

Optimizing cutting conditions for machine tools can increase productivity by at least 20%

Shop-Pro: Optimize Cutting Conditions to Dramatically Increase Your Tool Productivity

Shop-Pro, a cutting vibration analysis software developed by Professor Altintas' team at the University of British Columbia, Canada, is now integrated into the impaq Elite portable spectrum analyzer. Through a simple bearing and tool stiffness (FRF) test, Shop-Pro software can accurately predict the cutting stability graph and speed information of tremors before recommending the optimal cutting speed, maximum cutting depth and width, and the required torque and power, helping the tool user to quickly adjust the machine to the best cutting conditions, which can improve productivity by at least 20% and even 50% in some cases.