Article
Health Management Decision of Sensor System
Based on Health Reliability Degree and Grey
Group Decision-Making
Kai Song
1
ID
, Peng Xu
1,
*, Guo Wei
1
, Yinsheng Chen
2
and Qi Wang
1
1
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;
kaisong@hit.edu.cn (K.S.); weiguo@sina.com (G.W.); wangqi@hit.edu.cn (Q.W.)
2
School of Measurement and Communication Engineering, Harbin University of Science and Technology,
Harbin 150001, China; chen_yinsheng@126.com
* Correspondence: zeroloe@163.com; Tel.: +86-156-6369-2270
Received: 10 June 2018; Accepted: 10 July 2018; Published: 17 July 2018
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%.
Keywords:
health management decision; grey group decision-making; health reliability degree;
maintenance decision; sensor system
1. Introduction
Sensor systems are extensively used in many fields, such as industry, manufacturing, aviation,
and aerospace. Metal Oxide Semiconductor (MOS) gas sensor has become the most common gas sensor
in sensor system at present because it has the advantages of fast response to target gas, high sensitivity,
simple structure, easy to operation, low cost, and so on. Limited to the properties of metal oxide
gas sensitive materials, the phenomenon such as aging, poisoning and damage of the gas sensitive
material will affect the measurement quality of MOS gas sensor array. As a result, the trained pattern
recognition method greatly degrades the performance of odor detection and analysis to target gases [
1
].
The influence of the work state and measurement quality of MOS gas sensor array to the performance
of sensor system cannot be ignored.
At present, the following three ways are used to improve the fallen performance of the odor
detection and analysis for sensor system that is caused by the decrease of reliability of the measurement
value of the MOS gas sensor array.
Sensors 2018, 18, 2316; doi:10.3390/s18072316 www.mdpi.com/journal/sensors
