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Use of self-calibration data for multifunctional MEMS sensor prognostics

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Use of self-calibration data for multifunctional MEMS sensor prognostics. / Khan, Haroon; Tahir, Muhammed Imran; Richardson, Andrew Mark David.
In: Journal of Micromechanical Systems, Vol. 25, No. 4, 08.2016, p. 761-769.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Khan, H, Tahir, MI & Richardson, AMD 2016, 'Use of self-calibration data for multifunctional MEMS sensor prognostics', Journal of Micromechanical Systems, vol. 25, no. 4, pp. 761-769. https://doi.org/10.1109/JMEMS.2016.2564499

APA

Khan, H., Tahir, M. I., & Richardson, A. M. D. (2016). Use of self-calibration data for multifunctional MEMS sensor prognostics. Journal of Micromechanical Systems, 25(4), 761-769. https://doi.org/10.1109/JMEMS.2016.2564499

Vancouver

Khan H, Tahir MI, Richardson AMD. Use of self-calibration data for multifunctional MEMS sensor prognostics. Journal of Micromechanical Systems. 2016 Aug;25(4):761-769. Epub 2016 May 19. doi: 10.1109/JMEMS.2016.2564499

Author

Khan, Haroon ; Tahir, Muhammed Imran ; Richardson, Andrew Mark David. / Use of self-calibration data for multifunctional MEMS sensor prognostics. In: Journal of Micromechanical Systems. 2016 ; Vol. 25, No. 4. pp. 761-769.

Bibtex

@article{cd8b9dde592b4ff2b8c05bac7b0cdcc0,
title = "Use of self-calibration data for multifunctional MEMS sensor prognostics",
abstract = "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.",
keywords = "HUMS, Microelectromechanical systems (MEMS) , diagnostics , fault tolerance, humidity , pressure , prognostics, reconfiguration, self-test",
author = "Haroon Khan and Tahir, {Muhammed Imran} and Richardson, {Andrew Mark David}",
year = "2016",
month = aug,
doi = "10.1109/JMEMS.2016.2564499",
language = "English",
volume = "25",
pages = "761--769",
journal = "Journal of Micromechanical Systems",
issn = "1057-7157",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

RIS

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 -