The paper considers the problem of sensor configuration for complex systems. The contribution of the paper is twofold. Firstly, we define an appropriate criterion that is based on maximizing overall sensor responses while minimizing redundant information as measured by correlations between multiple sensor outputs. Secondly, we describe an efficient and practical algorithm to achieve the optimization goals, based on simultaneous perturbation stochastic approximation (SPSA). SPSA avoids the need for detailed modeling of the sensor response by simply relying on observed responses as obtained by limited experimentation with test sensor configurations. We illustrate the application of the approach to optimal placement of acoustic sensors for signal detection in structures. This includes both a computer simulation study for an aluminum plate, and real experimentations on a steel I-beam.
|Title of host publication||IMTC 2000. Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, 2000.|
|Publication status||Published - 2000|
|Event||17th IEEE Instrumentation and Measurement Technology Conference - Baltimore, United States|
Duration: 1 May 2000 → 4 May 2000
Conference number: 17
|Conference||17th IEEE Instrumentation and Measurement Technology Conference|
|Period||01/05/2000 → 04/05/2000|