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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Use of self-calibration data for multifunctional MEMS sensor prognostics
AU - Khan, Haroon
AU - Tahir, Muhammed Imran
AU - Richardson, Andrew Mark David
PY - 2016/8
Y1 - 2016/8
N2 - This paper proposes a solution to monitor the degradation of a multifunctional microelectromechanical systems (MEMS) sensor (MFS) and to recalibrate the sensor output accordingly. The solution is able to predict the remaining useful life based on the recalibration history. The MFS used is a dual pressure-humidity hybrid sensor where model data have been used to demonstrate the applicability and performance of the proposed method for diagnosis, self-correction, and prognosis.
AB - This paper proposes a solution to monitor the degradation of a multifunctional microelectromechanical systems (MEMS) sensor (MFS) and to recalibrate the sensor output accordingly. The solution is able to predict the remaining useful life based on the recalibration history. The MFS used is a dual pressure-humidity hybrid sensor where model data have been used to demonstrate the applicability and performance of the proposed method for diagnosis, self-correction, and prognosis.
KW - HUMS
KW - Microelectromechanical systems (MEMS)
KW - diagnostics
KW - fault tolerance
KW - humidity
KW - pressure
KW - prognostics
KW - reconfiguration
KW - self-test
U2 - 10.1109/JMEMS.2016.2564499
DO - 10.1109/JMEMS.2016.2564499
M3 - Journal article
VL - 25
SP - 761
EP - 769
JO - Journal of Micromechanical Systems
JF - Journal of Micromechanical Systems
SN - 1057-7157
IS - 4
ER -