TY - GEN
T1 - Data validation and dynamic uncertainty estimation of self-validating sensor
AU - Chen, Yinsheng
AU - Yang, Jingli
AU - Jiang, Shouda
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/6
Y1 - 2015/7/6
N2 - A novel self-validating strategy using grey bootstrap method (GBM) is proposed for data validation and dynamic uncertainty estimation of self-validating sensor. The failure detection, isolation, and recovery (FDIR) of self-validating sensor based on GM(1,1) predictor can simultaneously detect and isolate fault and accomplish failure recovery with high accuracy and good timeliness. Furthermore, the proposed FDIR scheme has good effectiveness of discriminating between fault-free signals with sudden changes and undoubted faults. In dynamic measurement process, because of unknown prior information about probability density functions (PDFs) of uncertainty sources, the uncertainty cannot be estimated by Guide to the Expression of Uncertainty in Measurement (GUM). The GBM can evaluate the measurement uncertainty by poor information and small sample. Experiment results show that the GBM strategy provides a good solution to data validation and dynamic uncertainty estimation of self-validating sensor.
AB - A novel self-validating strategy using grey bootstrap method (GBM) is proposed for data validation and dynamic uncertainty estimation of self-validating sensor. The failure detection, isolation, and recovery (FDIR) of self-validating sensor based on GM(1,1) predictor can simultaneously detect and isolate fault and accomplish failure recovery with high accuracy and good timeliness. Furthermore, the proposed FDIR scheme has good effectiveness of discriminating between fault-free signals with sudden changes and undoubted faults. In dynamic measurement process, because of unknown prior information about probability density functions (PDFs) of uncertainty sources, the uncertainty cannot be estimated by Guide to the Expression of Uncertainty in Measurement (GUM). The GBM can evaluate the measurement uncertainty by poor information and small sample. Experiment results show that the GBM strategy provides a good solution to data validation and dynamic uncertainty estimation of self-validating sensor.
UR - https://www.scopus.com/pages/publications/84938863010
U2 - 10.1109/I2MTC.2015.7151302
DO - 10.1109/I2MTC.2015.7151302
M3 - 会议稿件
AN - SCOPUS:84938863010
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
SP - 405
EP - 410
BT - 2015 IEEE International Instrumentation and Measurement Technology Conference - The "Measurable" of Tomorrow
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015
Y2 - 11 May 2015 through 14 May 2015
ER -