关键词: 多尺度主元分析, 小波包, 故障传感器, 数据重构

Abstract: Multi-scale principal component analysis based on wavelet package for data reconstruction of the faulty sensor is discussed.Conventional MSPCA based on wavelet package can not establish the model for data reconstruction of the faulty sensor.So,the PCA modals are established at each node of the best tree after the wavelet package decomposition.When the PCA models reconstruct the faulty sensor,reverse wavelet transformation is implemented to achieve the final reconstruction result.Finally,several sensor fault modes are simulated with the sensor data of the ground testing bed hydrogen providing system.And the applicability and effectiveness of the proposed modal is illustrated by these modes.

Key words: Multi-Scale Principal Component Analysis(MSPCA), wavelet package, faulty sensor, data reconstruction