Design and Development of Smart Workbench for Ball Bearing Defect Identification by using PSoC Microcontroller and Labview Virtual Instrument

One of the most important components of any industrial machine is ball bearings, which keep the equipment life as well as the smooth running of the machinery operations. Keeping the ball bearing in good working condition is maintaining constant productivity. The bearing faults, which took place in the consequence of necessary equipment, caused the machinery to be pulled down. The productivity loss entailed great money loss in addition to safety risk. A test workbench was constructed to diagnose the ball bearings working condition by getting the amplitude of the power spectrum, as well as the wavelet pattern. A combination of a PSoC embedded design with a virtual instrumentation workbench can be considered a technological solution in terms of the detection and precise diagnosis of ball bearing faults. In this work, the power spectrum and wavelet patterns were identified for the good working conditioned bearings; the wavelet patterns were identified by using 6000 series ball bearings. This work explores the application of PSoC technology coupled with virtual instrumentation in the monitoring of ball bearings in an industry setting and analyzes the future direction of the industry in the utilization of new-age technologies in the monitoring and diagnosis of ball bearings.