讨论了基于多尺度主元分析的故障传感器数据重构问题。
Multi-Scale Principal Component Analysis for data reconstruction of the faulty sensor is discussed.
仿真结果表明，所研究的方法能及时、有效的检测到故障传感器，并对其进行隔离和重构，没有发生误报和漏报现象。
Simulation results illustrate that this method can immediately and effectively detect, isolate and accommodate sensor failures, no mistake and failure reports were found.
研究利用卡尔曼滤波器及多重故障假设检验方法来检测某发动机控制系统传感器硬、软故障，并实现故障传感器的输出重构。
According to Kalman filter and multiple-failure-hypothesis based testing, the sensor failures are detected, isolated and accommodated in turbofan engine control system.
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