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Part of the book series: Review of Progress in Quantitative Nondestructive Evaluation ((RPQN,volume 18 A))

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Abstract

Intelligence, according to a commonly used dictionary, is “the ability to learn or understand or to deal with new or trying situations”[1]. It is easy to argue that sensors are essential for any system to react intelligently to such situations. In fact, the absence of sensors would in most cases cause the failure to recognize the occurrence of such situations. This also applies to materials processing systems where sensors provide information, which is interpreted in terms of imbedded models and algorithms, which provide the rationale for dealing with the encountered situations.

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Bussière, J.F. (1999). Sensors for Intelligent Processing of Common Materials. In: Thompson, D.O., Chimenti, D.E. (eds) Review of Progress in Quantitative Nondestructive Evaluation. Review of Progress in Quantitative Nondestructive Evaluation, vol 18 A. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4791-4_2

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  • DOI: https://doi.org/10.1007/978-1-4615-4791-4_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7170-0

  • Online ISBN: 978-1-4615-4791-4

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