In most grinding applications, the grinding and dressing is still done depending on the experience and know-how of a skilled operator. To overcome the difficulties of experience-dependent grinding and dressing, a systematic method which can measure the status of the working wheel surface and evaluate the dressed wheel surface is necessary. A methodology could help to detect the extent of wheel loading based on secondary vibration signals. These vibration signals are captured by the use of a Piezoelectric Sensor placed around the Grinding Spindle Housing. The signals are captured for various conditions of the wheel and the results are used to form a regression model. The Lab VIEW software is used to perform the signals analysis. This online monitoring of the grinding wheel based on vibration signals is an effective method to implement in the case of mass production.
Of course, vibration signal analysis is one of the most important methods for condition monitoring because it always contains the essential information of the system. For a defective element, an increase in the vibration energy may occur.
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