Conference paper
Optimal sensor configuration for complex systems with application to signal detection in structures
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2000 |
| Pages: | 330,331,332,333,334 |
| Proceedings: | 17th IEEE Instrumentation and Measurement Technology Conference |
| ISBN: | 0780358902 and 9780780358904 |
| ISSN: | 10915281 |
| Types: | Conference paper |
| DOI: | 10.1109/IMTC.2000.846880 |
Acoustic sensors Acoustic testing Al Al plate Aluminum Application software Approximation algorithms Computer simulation Sensor systems Sensor systems and applications Signal detection Stochastic processes acoustic sensors aluminium complex systems computer simulation correlations detailed modeling digital simulation intelligent sensors intelligent structures observed responses optimal placement optimal sensor configuration optimisation optimization practical algorithm redundant information sensor responses signal detection simultaneous perturbation stochastic approximation steel steel I-beam
