Sensors 2013, 13(1), 587-610; doi:10.3390/s130100587

A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors

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Received: 15 November 2012; in revised form: 1 January 2013 / Accepted: 2 January 2013 / Published: 4 January 2013
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The performance evaluation of sensors is very important in actual application. In this paper, a theory based on multi-variable information fusion is studied to evaluate the health level of multifunctional sensors. A novel conception of health reliability degree (HRD) is defined to indicate a quantitative health level, which is different from traditional so-called qualitative fault diagnosis. To evaluate the health condition from both local and global perspectives, the HRD of a single sensitive component at multiple time points and the overall multifunctional sensor at a single time point are defined, respectively. The HRD methodology is emphasized by using multi-variable data fusion technology coupled with a grey comprehensive evaluation method. In this method, to acquire the distinct importance of each sensitive unit and the sensitivity of different time points, the information entropy and analytic hierarchy process method are used, respectively. In order to verify the feasibility of the proposed strategy, a health evaluating experimental system for multifunctional self-validating sensors was designed. The five different health level situations have been discussed. Successful results show that the proposed method is feasible, the HRD could be used to quantitatively indicate the health level and it does have a fast response to the performance changes of multifunctional sensors.
Keywords: health evaluation; data fusion; multifunctional self-validating sensor; health reliability degree; grey theory
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MDPI and ACS Style

Shen, Z.; Wang, Q. A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors. Sensors 2013, 13, 587-610.

AMA Style

Shen Z, Wang Q. A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors. Sensors. 2013; 13(1):587-610.

Chicago/Turabian Style

Shen, Zhengguang; Wang, Qi. 2013. "A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors." Sensors 13, no. 1: 587-610.

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