关键词: 多尺度主元分析, 故障传感器, 数据重构

Abstract: Multi-Scale Principal Component Analysis for data reconstruction of the faulty sensor is discussed.Conventional MSPCA did not establish the model for data reconstruction of the faulty sensor.So，the PCA modals were established at each scale for sensor fault diagnosis with the principle of MSCPA in this paper.Then，the MSPCA model is established for data reconstruction of the faulty sensor together with PCA and reverse wavelet transformation.The application modal in real time is designed by moving window，and the drifting failure and the cyclic failure are simulated.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）, faulty sensor, data reconstruction