Decision-making in Proactive Remanufacturing Based on Online Monitoring

Considering the uncertainty quality of the remanufacturing, this paper presents the proactive remanufacturing which is actively carried at an optimal time. To identify the optimal time, the decision-making model is given based on online monitoring signals. Informed by wavelet-packet de-noise and singular value decomposition, establishing the mapping relationship between components failure and using feature of products. With the simulating test on crankshaft of engine, the vibrating signals of different wear condition in crankshaft journal are analyzed, extracted and compared, which can establish the mapping relationship. Thus, it could make the proactive remanufacturing decision with the optimal wearing condition in crankshaft.