DocumentCode :
3474029
Title :
Design and simulation of a multi-function MEMS sensor for health and usage monitoring
Author :
Xu, Zongben ; Koltsov, D. ; Richardson, A. ; Le, L. ; Begbie, M.
Author_Institution :
Dept. of Eng., Lancaster Univ., Lancaster, UK
fYear :
2010
fDate :
12-14 Jan. 2010
Firstpage :
1
Lastpage :
7
Abstract :
Health and usage monitoring as a technique for online test, diagnosis or prognosis of structures and systems has evolved as a key technology for future critical systems. The technology, often referred to as HUMS is usually based around sensors that must be more reliable than the system or structure they are monitoring. This paper proposes a fault tolerant sensor architecture and demonstrates the feasibility of realising this architecture through the design of a dual mode humidity/pressure MEMS sensor with an integrated temperature function. The sensor has a simple structure, good linearity and sensitivity, and the potential for implementation of built-in-self-test features. We also propose a re-configurable sensor network based on the multi-functional sensor concept that supports both normal operational and fail safe modes. The architecture has the potential to significantly increase system reliability and supports a reduction in the number of sensors required in future HUMS devices. The technique has potential in a wide range of applications, especially within wireless sensor networks.
Keywords :
built-in self test; condition monitoring; fault tolerance; humidity sensors; microsensors; pressure sensors; temperature; wireless sensor networks; HUMS technology; built-in-self-test; dual mode humidity-pressure MEMS sensor; fail safe mode; fault tolerant sensor architecture; health monitoring; multifunction MEMS sensor; normal operational mode; online test; reconfigurable sensor network; system reliability; temperature function; usage monitoring; wireless sensor network; Fault tolerance; Humidity; Linearity; Micromechanical devices; Monitoring; Reliability; Sensor phenomena and characterization; Sensor systems; System testing; Temperature sensors; HUMS; bias superposition; built-in-self-test; humidity sensor; multi-mode sensing; online test; pressure sensor; self-repair; sensor network; sensor reliability; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and Health Management Conference, 2010. PHM '10.
Conference_Location :
Macao
Print_ISBN :
978-1-4244-4756-5
Electronic_ISBN :
978-1-4244-4758-9
Type :
conf
DOI :
10.1109/PHM.2010.5413415
Filename :
5413415
Link To Document :
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