On evaluating monitoring design effectiveness

Daniele Zonta, Carlo Cappello, Matteo Pozzi, Branko Glisic

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

When designing a structure such as a bridge or a building, a civil engineer follows a well-established, rational procedure, whereby the performance of the design concept is predicted through structural analysis and quantitatively assessed with respect to the target performance. On the contrary, when an engineer designs a monitoring system, the approach is often heuristic with performance evaluation based on common sense or experience, rather than on quantitative analysis. In this paper, we describe a rational procedure for the design of monitoring systems, keeping in mind an analogy between structural and monitoring design. Whereas the structural design objective is to achieve stability with an appropriate level of safety, the object of monitoring is to acquire knowledge with an appropriate level of confidence. Herein, we illustrate the motoring design procedure with a simple practical example and discuss a possible metric for evaluating the performance of a design concept.

Original languageEnglish
Title of host publication7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society
Pages986-993
Number of pages8
Publication statusPublished - 11 Jul 2014
Event7th European Workshop on Structural Health Monitoring, EWSHM 2014 - Nantes, France
Duration: 8 Jul 201411 Jul 2014

Conference

Conference7th European Workshop on Structural Health Monitoring, EWSHM 2014
CountryFrance
CityNantes
Period8/07/1411/07/14

Keywords

  • bayesian inference
  • cable stayed bridge
  • error propagation
  • metrology
  • monitoring

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  • Cite this

    Zonta, D., Cappello, C., Pozzi, M., & Glisic, B. (2014). On evaluating monitoring design effectiveness. In 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society (pp. 986-993)