The structural health monitoring of cultural heritages is addressed in this paper. The arising inverse problem is solved through the Learning-by-Examples (LBE) paradigm, exploiting data collected by a Wireless Sensor Network (WSN). More in detail, low-cost and low-size sensing devices are spread over the scenario to be monitored, allowing environmental data as well as acceleration and vibration information to be acquired and processed by means of a Support Vector Machine (SVM) in order to detect the presence/absence of a damage in the monitored structure. The proposed approach has been preliminary validated in a laboratory-controlled environment, demonstrating promising performance.

Computational methods for wireless structural health monitoring of cultural heritages / Bertolli, M.; Donelli, M.; Massa, A.; Oliveri, G.; Polo, A.; Robol, F.; Poli, L.; Gelmini, A.; Gottardi, G.; Hannan, M. A.; Bui, L. T. P.; Rocca, P.; Sacchi, C.; Viani, F.; Moriyama, T.; Takenaka, T.; Salucci, M.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - 1131:1(2018), pp. 012005.1-012005.7. [10.1088/1742-6596/1131/1/012005]

Computational methods for wireless structural health monitoring of cultural heritages

Donelli, M.;Massa, A.;Oliveri, G.;Polo, A.;Robol, F.;Poli, L.;Gelmini, A.;Gottardi, G.;Hannan, M. A.;Bui, L. T. P.;Rocca, P.;Sacchi, C.;Viani, F.;Salucci, M.
2018-01-01

Abstract

The structural health monitoring of cultural heritages is addressed in this paper. The arising inverse problem is solved through the Learning-by-Examples (LBE) paradigm, exploiting data collected by a Wireless Sensor Network (WSN). More in detail, low-cost and low-size sensing devices are spread over the scenario to be monitored, allowing environmental data as well as acceleration and vibration information to be acquired and processed by means of a Support Vector Machine (SVM) in order to detect the presence/absence of a damage in the monitored structure. The proposed approach has been preliminary validated in a laboratory-controlled environment, demonstrating promising performance.
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Bertolli, M.; Donelli, M.; Massa, A.; Oliveri, G.; Polo, A.; Robol, F.; Poli, L.; Gelmini, A.; Gottardi, G.; Hannan, M. A.; Bui, L. T. P.; Rocca, P.; Sacchi, C.; Viani, F.; Moriyama, T.; Takenaka, T.; Salucci, M.
Computational methods for wireless structural health monitoring of cultural heritages / Bertolli, M.; Donelli, M.; Massa, A.; Oliveri, G.; Polo, A.; Robol, F.; Poli, L.; Gelmini, A.; Gottardi, G.; Hannan, M. A.; Bui, L. T. P.; Rocca, P.; Sacchi, C.; Viani, F.; Moriyama, T.; Takenaka, T.; Salucci, M.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - 1131:1(2018), pp. 012005.1-012005.7. [10.1088/1742-6596/1131/1/012005]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/221866
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