Metal particle in oil is an important healthy index for hydraulic systems. Accident prevention can be achieved using particle parameters to diagnose system faults. In this paper, a feature extraction technique for oil particle contaminants using maximal overlap discrete wavelet transform is presented. Both simulated and real signals are employed to evaluate the proposed approach, which is helpful to improve the measurement precision of the metal particle in the oil.