Recently several authors have turned their attention to the design problems of very large arrays of intelligent sensors, such as would be suitable for inclusion as an integral part of a,smart structure'. Such systems have architectural and data throughput advantages, but to be used effectively need to be designed so as to be 'controllerless' and 'decentralised'. This paper explores some of these design issues, and illustrates how artificial intelligence (in particular Neural Networks techniques) could be effectively incorporated within the design of large intelligent microsystems with the scope of enhancing their functionality. Micromachined acceleration sensors are considered as a case study.
The paper opens with a discussion on the ever-increasing appropriateness of local sensor health monitoring, fault diagnosis and measurement confidence indices. The use of Artificial Intelligence techniques is suggested for implementing on-chip sensor diagnosis. Design issues for large, intelligent arrays of microsensors are brought forward.
|Title of host publication||Artificial Neural Nets and Genetic Algorithms|
|Subtitle of host publication||Proceedings of the International Conference in Roanne, France, 2003|
|Editors||David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht|
|Place of Publication||Berlin; New York|
|Publisher||Springer, Springer Nature|
|Number of pages||7|
|ISBN (Print)||3211007431, 9783211007433|
|Publication status||Published - 2003|
|Event||International Conference on Artificial Neural Nets and Genetic Algorithms - Roanne, France|
Duration: 23 Apr 2003 → 25 Apr 2003
|Name||Springer Computer Science|
|Conference||International Conference on Artificial Neural Nets and Genetic Algorithms|
|Period||23/04/03 → 25/04/03|