The Fisher Information Matrix as a Relevant Tool forSensor Selection in Engine Health Monitoring

[摘要] Engine health monitoring has been an area of intensive research for many years. Numerous methodshave been developed with the goal of determining a faithful picture of the engine condition. On theother hand, the issue of sensor selection allowing an efficient diagnosis has received less attentionfrom the community. The present contribution revisits the problem of sensor selection for engineperformance monitoring within the scope of information theory. To this end, a metric that integratesthe 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.

[学科分类] 力学，机械学