A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors
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 quantit...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2013-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/13/1/587 |
| _version_ | 1828109386647601152 |
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| author | Zhengguang Shen Qi Wang |
| author_facet | Zhengguang Shen Qi Wang |
| author_sort | Zhengguang Shen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T11:02:36Z |
| format | Article |
| id | doaj.art-133effa8490747d0b150f92b23785b1d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:02:36Z |
| publishDate | 2013-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-133effa8490747d0b150f92b23785b1d2022-12-22T04:28:29ZengMDPI AGSensors1424-82202013-01-0113158761010.3390/s130100587A Novel Health Evaluation Strategy for Multifunctional Self-Validating SensorsZhengguang ShenQi WangThe 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.http://www.mdpi.com/1424-8220/13/1/587health evaluationdata fusionmultifunctional self-validating sensorhealth reliability degreegrey theory |
| spellingShingle | Zhengguang Shen Qi Wang A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors Sensors health evaluation data fusion multifunctional self-validating sensor health reliability degree grey theory |
| title | A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors |
| title_full | A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors |
| title_fullStr | A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors |
| title_full_unstemmed | A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors |
| title_short | A Novel Health Evaluation Strategy for Multifunctional Self-Validating Sensors |
| title_sort | novel health evaluation strategy for multifunctional self validating sensors |
| topic | health evaluation data fusion multifunctional self-validating sensor health reliability degree grey theory |
| url | http://www.mdpi.com/1424-8220/13/1/587 |
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