The Fisher Information Matrix as a Relevant Tool for Sensor Selection in Engine Health Monitoring
Engine health monitoring has been an area of intensive research for many years. Numerous methods have been developed with the goal of determining a faithful picture of the engine condition. On the other hand, the issue of sensor selection allowing an efficient diagnosis has received less attention f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/2008/784749 |
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| Summary: | Engine health monitoring has been an area of intensive research for many years. Numerous methods
have been developed with the goal of determining a faithful picture of the engine condition. On the
other hand, the issue of sensor selection allowing an efficient diagnosis has received less attention
from the community. The present contribution revisits the problem of sensor selection for engine
performance monitoring within the scope of information theory. To this end, a metric that integrates
the essential elements of the sensor selection problem is defined from the Fisher information matrix. An example application consisting in a commercial turbofan engine illustrates the enhancement that can be expected from a wise selection of the sensor set. |
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| ISSN: | 1023-621X 1542-3034 |