Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making

Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect th...
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Autor*in:	Kai Song [verfasserIn] Peng Xu [verfasserIn] Guo Wei [verfasserIn] Yinsheng Chen [verfasserIn] Qi Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	health management decision grey group decision-making health reliability degree maintenance decision sensor system

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 18(2018), 7, p 2316
Übergeordnetes Werk:	volume:18 ; year:2018 ; number:7, p 2316

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s18072316

Katalog-ID:	DOAJ085657492

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allfields	10.3390/s18072316 doi (DE-627)DOAJ085657492 (DE-599)DOAJ868602f1f686412fa0fc86855d3a9acf DE-627 ger DE-627 rakwb eng TP1-1185 Kai Song verfasserin aut Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%. health management decision grey group decision-making health reliability degree maintenance decision sensor system Chemical technology Peng Xu verfasserin aut Guo Wei verfasserin aut Yinsheng Chen verfasserin aut Qi Wang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 7, p 2316 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:7, p 2316 https://doi.org/10.3390/s18072316 kostenfrei https://doaj.org/article/868602f1f686412fa0fc86855d3a9acf kostenfrei http://www.mdpi.com/1424-8220/18/7/2316 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 7, p 2316
spelling	10.3390/s18072316 doi (DE-627)DOAJ085657492 (DE-599)DOAJ868602f1f686412fa0fc86855d3a9acf DE-627 ger DE-627 rakwb eng TP1-1185 Kai Song verfasserin aut Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%. health management decision grey group decision-making health reliability degree maintenance decision sensor system Chemical technology Peng Xu verfasserin aut Guo Wei verfasserin aut Yinsheng Chen verfasserin aut Qi Wang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 7, p 2316 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:7, p 2316 https://doi.org/10.3390/s18072316 kostenfrei https://doaj.org/article/868602f1f686412fa0fc86855d3a9acf kostenfrei http://www.mdpi.com/1424-8220/18/7/2316 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 7, p 2316
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allfieldsGer	10.3390/s18072316 doi (DE-627)DOAJ085657492 (DE-599)DOAJ868602f1f686412fa0fc86855d3a9acf DE-627 ger DE-627 rakwb eng TP1-1185 Kai Song verfasserin aut Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%. health management decision grey group decision-making health reliability degree maintenance decision sensor system Chemical technology Peng Xu verfasserin aut Guo Wei verfasserin aut Yinsheng Chen verfasserin aut Qi Wang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 7, p 2316 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:7, p 2316 https://doi.org/10.3390/s18072316 kostenfrei https://doaj.org/article/868602f1f686412fa0fc86855d3a9acf kostenfrei http://www.mdpi.com/1424-8220/18/7/2316 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 7, p 2316
allfieldsSound	10.3390/s18072316 doi (DE-627)DOAJ085657492 (DE-599)DOAJ868602f1f686412fa0fc86855d3a9acf DE-627 ger DE-627 rakwb eng TP1-1185 Kai Song verfasserin aut Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%. health management decision grey group decision-making health reliability degree maintenance decision sensor system Chemical technology Peng Xu verfasserin aut Guo Wei verfasserin aut Yinsheng Chen verfasserin aut Qi Wang verfasserin aut In Sensors MDPI AG, 2003 18(2018), 7, p 2316 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:18 year:2018 number:7, p 2316 https://doi.org/10.3390/s18072316 kostenfrei https://doaj.org/article/868602f1f686412fa0fc86855d3a9acf kostenfrei http://www.mdpi.com/1424-8220/18/7/2316 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2018 7, p 2316
language	English
source	In Sensors 18(2018), 7, p 2316 volume:18 year:2018 number:7, p 2316
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topic_facet	health management decision grey group decision-making health reliability degree maintenance decision sensor system Chemical technology
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authorswithroles_txt_mv	Kai Song @@aut@@ Peng Xu @@aut@@ Guo Wei @@aut@@ Yinsheng Chen @@aut@@ Qi Wang @@aut@@
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callnumber-first	T - Technology
author	Kai Song
spellingShingle	Kai Song misc TP1-1185 misc health management decision misc grey group decision-making misc health reliability degree misc maintenance decision misc sensor system misc Chemical technology Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making
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topic_title	TP1-1185 Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making health management decision grey group decision-making health reliability degree maintenance decision sensor system
topic	misc TP1-1185 misc health management decision misc grey group decision-making misc health reliability degree misc maintenance decision misc sensor system misc Chemical technology
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title	Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making
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title_sort	health management decision of sensor system based on health reliability degree and grey group decision-making
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title_auth	Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making
abstract	Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%.
abstractGer	Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%.
abstract_unstemmed	Metal Oxide Semiconductor (MOS) gas sensor has been widely used in sensor systems for the advantages of fast response, high sensitivity, low cost, and so on. But, limited to the properties of materials, the phenomenon, such as aging, poisoning, and damage of the gas sensitive material will affect the measurement quality of MOS gas sensor array. To ensure the stability of the system, a health management decision strategy for the prognostics and health management (PHM) of a sensor system that is based on health reliability degree (HRD) and grey group decision-making (GGD) is proposed in this paper. The health management decision-making model is presented to choose the best health management strategy. Specially, GGD is utilized to provide health management suggestions for the sensor system. To evaluate the status of the sensor system, a joint HRD-GGD framework is declared as the health management decision-making. In this method, HRD of sensor system is obtained by fusing the output data of each sensor. The optimal decision-making recommendations for health management of the system is proposed by combining historical health reliability degree, maintenance probability, and overhaul rate. Experimental results on four different kinds of health levels demonstrate that the HRD-GGD method outperforms other methods in decision-making accuracy of sensor system. Particularly, the proposed HRD-GGD decision-making method achieves the best decision accuracy of 98.25%.
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title_short	Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making
url	https://doi.org/10.3390/s18072316 https://doaj.org/article/868602f1f686412fa0fc86855d3a9acf http://www.mdpi.com/1424-8220/18/7/2316 https://doaj.org/toc/1424-8220
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author2	Peng Xu Guo Wei Yinsheng Chen Qi Wang
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doi_str	10.3390/s18072316
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up_date	2024-07-03T16:05:56.579Z
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Health Management Decision of Sensor System Based on Health Reliability Degree and Grey Group Decision-Making

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