Prognostic Study of CNC Machine Component Using a Systematic Method The prognostic study of CNC machine component plays a key role in increasing the reliability and safety of manufacturing systems. A systematic prognostic method based on multisensor information for CNC machine component is proposed in this paper, where the data characteristics and system properties are all considered. The proposed method includes data preprocessing based on a noiseassisted multivariate empirical mode decomposition method, a twostage feature selection strategy and remaining useful life prediction based on the trajectory similarity method. An experimental case study is given to evaluate the proposed method. The results show that the systematic prognostic method could be applied in the industrial field.

Aircraft Engine Prognostics Based on Informative Sensor Selection and Adaptive Degradation Modeling with Functional Principal Component Analysis Engine prognostics are critical to improve safety, reliability, and operational efficiency of an aircraft. With the development in sensor technology, multiple sensors are embedded or deployed to monitor the health condition of the aircraft engine. Thus, the challenge of engine prognostics lies in how to model and predict future health by appropriate utilization of these sensor information. In this paper, a prognostic approach is developed based on informative sensor selection and adaptive degradation modeling with functional data analysis. The presented approach selects sensors based on metrics and constructs health index to characterize engine degradation by fusing the selected informative sensors. Next, the engine degradation is adaptively modeled with the functional principal component analysis (FPCA) method and future health is prognosticated using the Bayesian inference. The prognostic approach is applied to runtofailure data sets of CMAPSS testbed developed by NASA. Results show that the proposed method can effectively select the informative sensors and accurately predict the complex degradation of the aircraft engine.