A smart monitor for measurement and fault detection

A smart monitor is developed in this paper for vibration measurement and signal analysis. The 3D vibration signals can be measured in either an analog or a digital form. This reprogrammable monitor can conduct fault detect in shaft-related systems such as rotor imbalance, misalignment, and bearing defects. An energy spectrum technique is proposed and implemented for bearing fault detection: Firstly bearing resonance signatures are demodulated by wavelet decomposition, and then the resulting wavelet energy functions are integrated to enhance feature characteristics. A correlation spectrum is employed to highlight bearing fault characteristic frequencies. The effectiveness of the proposed techniques is verified by experimental tests corresponding to different bearing conditions. Test results show that the suggested wavelet energy spectrum approach is a robust bearing fault detection technique especially for non-stationary feature extraction and analysis.