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Biblioteca

MARC Lista (tabellare)
Spanish Conference on Electron Devices
Spanish Conference on Electron Devices
Pubbl/distr/stampa Piscataway, N.J. : , : IEEE
Disciplina 621
Soggetto topico Electronics
Semiconductors - Materials
Detectors
Soggetto genere / forma Conference papers and proceedings.
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti CDE
Proceedings of the Spanish Conference on Electron Devices
Conferencia de Dispositivos Electrónicos
Record Nr. UNISA-996280279803316
Piscataway, N.J. : , : IEEE
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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SSIP '22 : Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing / / Association for Computing Machinery
SSIP '22 : Proceedings of the 2022 5th International Conference on Sensors, Signal and Image Processing / / Association for Computing Machinery
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2022
Descrizione fisica 1 online resource
Disciplina 681.2
Soggetto topico Detectors
Image processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910725934803321
New York, NY : , : Association for Computing Machinery, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
SSIP 2021 : 2021 4th International Conference on Sensors, Signal and Image Processing : October 15-17, 2021, Nanjing, China / / Vit Vozenilek, Liang Xiao, editors
SSIP 2021 : 2021 4th International Conference on Sensors, Signal and Image Processing : October 15-17, 2021, Nanjing, China / / Vit Vozenilek, Liang Xiao, editors
Pubbl/distr/stampa New York, NY : , : Association for Computing Machinery, , 2021
Descrizione fisica 1 online resource (81 pages) : illustrations
Disciplina 681.2
Collana ACM international conference proceedings series
Soggetto topico Detectors
Image processing
Signal processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566450503321
New York, NY : , : Association for Computing Machinery, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
State-of-the-art sensors technology in Spain 2015 . Volume 1 / / Gonzalo Pajares Martinsanz
State-of-the-art sensors technology in Spain 2015 . Volume 1 / / Gonzalo Pajares Martinsanz
Autore Martinsanz Gonzalo Pajares
Pubbl/distr/stampa Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2017]
Descrizione fisica 1 online resource (viii, 294 pages)
Disciplina 681.2
Soggetto topico Detectors
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti State-of-the-Art Sensors Technology in Spain 2015
Record Nr. UNINA-9910765786003321
Martinsanz Gonzalo Pajares  
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
State-of-the-art sensors technology in Spain 2017 . Volume 2 / / edited by Gonzalo Pajares Martinsanz
State-of-the-art sensors technology in Spain 2017 . Volume 2 / / edited by Gonzalo Pajares Martinsanz
Pubbl/distr/stampa Basel, Switzerland : , : MDPI, , [2018]
Descrizione fisica 1 online resource (486 pages) : illustrations
Disciplina 681.2
Soggetto topico Detectors
ISBN 3-03842-960-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti State-of-the-Art Sensors Technology in Spain 2017
Record Nr. UNINA-9910688433903321
Basel, Switzerland : , : MDPI, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural control & health monitoring
Structural control & health monitoring
Pubbl/distr/stampa [Chichester, UK], : John Wiley & Sons, ©2004-
Descrizione fisica 1 online resource
Disciplina 620
Soggetto topico Structural engineering
Structural control (Engineering)
Structural health monitoring
Automatic data collection systems
Detectors
Diagnostic Techniques and Procedures
Technique de la construction
Contrôle des structures (Ingénierie)
Collecte automatique des données
Surveillance de l'état des structures
Diagnostics - Méthodologie
Soggetto genere / forma Periodical
periodicals.
Periodicals.
Périodiques.
ISSN 1545-2263
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Structural control and health monitoring
Struct. control health monit
Record Nr. UNINA-9910216944303321
[Chichester, UK], : John Wiley & Sons, ©2004-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural control & health monitoring
Structural control & health monitoring
Pubbl/distr/stampa [Chichester, UK], : John Wiley & Sons, ©2004-
Descrizione fisica 1 online resource
Disciplina 620
Soggetto topico Structural engineering
Structural control (Engineering)
Structural health monitoring
Automatic data collection systems
Detectors
Diagnostic Techniques and Procedures
Technique de la construction
Contrôle des structures (Ingénierie)
Collecte automatique des données
Surveillance de l'état des structures
Diagnostics - Méthodologie
Soggetto genere / forma Periodical
periodicals.
Periodicals.
Périodiques.
ISSN 1545-2263
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Structural control and health monitoring
Struct. control health monit
Record Nr. UNISA-996206254903316
[Chichester, UK], : John Wiley & Sons, ©2004-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Structural health monitoring [[electronic resource] /] / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Güemes
Structural health monitoring [[electronic resource] /] / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Güemes
Pubbl/distr/stampa London ; ; Newport Beach, CA, : ISTE, 2006
Descrizione fisica 1 online resource (497 p.)
Disciplina 624.1/71
624.17
Altri autori (Persone) BalageasDaniel
FritzenClaus-Peter
GüemesAlfredo
Collana ISTE
Soggetto topico Structural health monitoring
Structural analysis (Engineering)
Automatic data collection systems
Detectors
Soggetto genere / forma Electronic books.
ISBN 1-280-51053-6
9786610510535
1-84704-451-4
0-470-61207-X
0-470-39440-4
1-84704-551-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Structural Health Monitoring; Table of Contents; Foreword; Chapter 1. Introduction to Structural Health Monitoring; 1.1. Definition of Structural Health Monitoring; 1.2. Motivation for Structural Health Monitoring; 1.3. Structural Health Monitoring as a way of making materials and structures smart; 1.4. SHM and biomimetics; 1.5. Process and pre-usage monitoring as a part of SHM; 1.6. SHM as a part of system management; 1.7. Passive and active SHM; 1.8. NDE, SHM and NDECS; 1.9. Variety and multidisciplinarity: the most remarkable characters of SHM
1.10. Birth of the Structural Health Monitoring Community1.11. Conclusion; 1.12. References; Chapter 2. Vibration-Based Techniques for Structural Health Monitoring; 2.1. Introduction; 2.2. Basic vibration concepts for SHM; 2.2.1. Local and global methods; 2.2.2. Damage diagnosis as an inverse problem; 2.2.3. Model-based damage assessment; 2.3. Mathematical description of structural systems with damage; 2.3.1. General dynamic behavior; 2.3.2. State-space description of mechanical systems; 2.3.3. Modeling of damaged structural elements; 2.4. Linking experimental and analytical data
2.4.1. Modal Assurance Criterion (MAC) for mode pairing2.4.2. Modal Scaling Factor (MSF); 2.4.3. Co-ordinate Modal Assurance Criterion (COMAC); 2.4.4. Damping; 2.4.5. Expansion and reduction; 2.4.6. Updating of the initial model; 2.5. Damage localization and quantification; 2.5.1. Change of the flexibility matrix; 2.5.2. Change of the stiffness matrix; 2.5.3. Strain-energy-based indicator methods and curvature modes; 2.5.4. MECE error localization technique; 2.5.5. Static displacement method; 2.5.6. Inverse eigensensitivity method; 2.5.7. Modal force residual method
2.5.8. Kinetic and strain energy-based sensitivity methods2.5.9. Forced vibrations and frequency response functions; 2.6. Solution of the equation system; 2.6.1. Regularization; 2.6.2. Parameter subset selection; 2.6.3. Other solution methods; 2.6.4. Variances of the parameters; 2.7. Neural network approach to SHM; 2.7.1. The basic idea of neural networks; 2.7.2. Neural networks in damage detection, localization and quantification; 2.7.3. Multi-layer Perceptron (MLP); 2.8. A simulation example; 2.8.1. Description of the structure; 2.8.2. Application of damage indicator methods
2.8.3. Application of the modal force residual method and inverse eigensensitivity method2.8.4. Application of the kinetic and modal strain energy methods; 2.8.5. Application of the Multi-Layer Perceptron neural network; 2.9. Time-domain damage detection methods for linear systems; 2.9.1. Parity equation method; 2.9.2. Kalman filters; 2.9.3. AR and ARX models; 2.10. Damage identification in non-linear systems; 2.10.1. Extended Kalman filter; 2.10.2. Localization of damage using filter banks; 2.10.3. A simulation study on a beam with opening and closing crack; 2.11. Applications
2.11.1. I-40 bridge
Record Nr. UNINA-9910143310303321
London ; ; Newport Beach, CA, : ISTE, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural health monitoring [[electronic resource] /] / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Güemes
Structural health monitoring [[electronic resource] /] / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Güemes
Pubbl/distr/stampa London ; ; Newport Beach, CA, : ISTE, 2006
Descrizione fisica 1 online resource (497 p.)
Disciplina 624.1/71
624.17
Altri autori (Persone) BalageasDaniel
FritzenClaus-Peter
GüemesAlfredo
Collana ISTE
Soggetto topico Structural health monitoring
Structural analysis (Engineering)
Automatic data collection systems
Detectors
ISBN 1-280-51053-6
9786610510535
1-84704-451-4
0-470-61207-X
0-470-39440-4
1-84704-551-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Structural Health Monitoring; Table of Contents; Foreword; Chapter 1. Introduction to Structural Health Monitoring; 1.1. Definition of Structural Health Monitoring; 1.2. Motivation for Structural Health Monitoring; 1.3. Structural Health Monitoring as a way of making materials and structures smart; 1.4. SHM and biomimetics; 1.5. Process and pre-usage monitoring as a part of SHM; 1.6. SHM as a part of system management; 1.7. Passive and active SHM; 1.8. NDE, SHM and NDECS; 1.9. Variety and multidisciplinarity: the most remarkable characters of SHM
1.10. Birth of the Structural Health Monitoring Community1.11. Conclusion; 1.12. References; Chapter 2. Vibration-Based Techniques for Structural Health Monitoring; 2.1. Introduction; 2.2. Basic vibration concepts for SHM; 2.2.1. Local and global methods; 2.2.2. Damage diagnosis as an inverse problem; 2.2.3. Model-based damage assessment; 2.3. Mathematical description of structural systems with damage; 2.3.1. General dynamic behavior; 2.3.2. State-space description of mechanical systems; 2.3.3. Modeling of damaged structural elements; 2.4. Linking experimental and analytical data
2.4.1. Modal Assurance Criterion (MAC) for mode pairing2.4.2. Modal Scaling Factor (MSF); 2.4.3. Co-ordinate Modal Assurance Criterion (COMAC); 2.4.4. Damping; 2.4.5. Expansion and reduction; 2.4.6. Updating of the initial model; 2.5. Damage localization and quantification; 2.5.1. Change of the flexibility matrix; 2.5.2. Change of the stiffness matrix; 2.5.3. Strain-energy-based indicator methods and curvature modes; 2.5.4. MECE error localization technique; 2.5.5. Static displacement method; 2.5.6. Inverse eigensensitivity method; 2.5.7. Modal force residual method
2.5.8. Kinetic and strain energy-based sensitivity methods2.5.9. Forced vibrations and frequency response functions; 2.6. Solution of the equation system; 2.6.1. Regularization; 2.6.2. Parameter subset selection; 2.6.3. Other solution methods; 2.6.4. Variances of the parameters; 2.7. Neural network approach to SHM; 2.7.1. The basic idea of neural networks; 2.7.2. Neural networks in damage detection, localization and quantification; 2.7.3. Multi-layer Perceptron (MLP); 2.8. A simulation example; 2.8.1. Description of the structure; 2.8.2. Application of damage indicator methods
2.8.3. Application of the modal force residual method and inverse eigensensitivity method2.8.4. Application of the kinetic and modal strain energy methods; 2.8.5. Application of the Multi-Layer Perceptron neural network; 2.9. Time-domain damage detection methods for linear systems; 2.9.1. Parity equation method; 2.9.2. Kalman filters; 2.9.3. AR and ARX models; 2.10. Damage identification in non-linear systems; 2.10.1. Extended Kalman filter; 2.10.2. Localization of damage using filter banks; 2.10.3. A simulation study on a beam with opening and closing crack; 2.11. Applications
2.11.1. I-40 bridge
Record Nr. UNISA-996217137003316
London ; ; Newport Beach, CA, : ISTE, 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Structural health monitoring [[electronic resource] /] / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Güemes
Structural health monitoring [[electronic resource] /] / edited by Daniel Balageas, Claus-Peter Fritzen and Alfredo Güemes
Pubbl/distr/stampa London ; ; Newport Beach, CA, : ISTE, 2006
Descrizione fisica 1 online resource (497 p.)
Disciplina 624.1/71
624.17
Altri autori (Persone) BalageasDaniel
FritzenClaus-Peter
GüemesAlfredo
Collana ISTE
Soggetto topico Structural health monitoring
Structural analysis (Engineering)
Automatic data collection systems
Detectors
ISBN 1-280-51053-6
9786610510535
1-84704-451-4
0-470-61207-X
0-470-39440-4
1-84704-551-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Structural Health Monitoring; Table of Contents; Foreword; Chapter 1. Introduction to Structural Health Monitoring; 1.1. Definition of Structural Health Monitoring; 1.2. Motivation for Structural Health Monitoring; 1.3. Structural Health Monitoring as a way of making materials and structures smart; 1.4. SHM and biomimetics; 1.5. Process and pre-usage monitoring as a part of SHM; 1.6. SHM as a part of system management; 1.7. Passive and active SHM; 1.8. NDE, SHM and NDECS; 1.9. Variety and multidisciplinarity: the most remarkable characters of SHM
1.10. Birth of the Structural Health Monitoring Community1.11. Conclusion; 1.12. References; Chapter 2. Vibration-Based Techniques for Structural Health Monitoring; 2.1. Introduction; 2.2. Basic vibration concepts for SHM; 2.2.1. Local and global methods; 2.2.2. Damage diagnosis as an inverse problem; 2.2.3. Model-based damage assessment; 2.3. Mathematical description of structural systems with damage; 2.3.1. General dynamic behavior; 2.3.2. State-space description of mechanical systems; 2.3.3. Modeling of damaged structural elements; 2.4. Linking experimental and analytical data
2.4.1. Modal Assurance Criterion (MAC) for mode pairing2.4.2. Modal Scaling Factor (MSF); 2.4.3. Co-ordinate Modal Assurance Criterion (COMAC); 2.4.4. Damping; 2.4.5. Expansion and reduction; 2.4.6. Updating of the initial model; 2.5. Damage localization and quantification; 2.5.1. Change of the flexibility matrix; 2.5.2. Change of the stiffness matrix; 2.5.3. Strain-energy-based indicator methods and curvature modes; 2.5.4. MECE error localization technique; 2.5.5. Static displacement method; 2.5.6. Inverse eigensensitivity method; 2.5.7. Modal force residual method
2.5.8. Kinetic and strain energy-based sensitivity methods2.5.9. Forced vibrations and frequency response functions; 2.6. Solution of the equation system; 2.6.1. Regularization; 2.6.2. Parameter subset selection; 2.6.3. Other solution methods; 2.6.4. Variances of the parameters; 2.7. Neural network approach to SHM; 2.7.1. The basic idea of neural networks; 2.7.2. Neural networks in damage detection, localization and quantification; 2.7.3. Multi-layer Perceptron (MLP); 2.8. A simulation example; 2.8.1. Description of the structure; 2.8.2. Application of damage indicator methods
2.8.3. Application of the modal force residual method and inverse eigensensitivity method2.8.4. Application of the kinetic and modal strain energy methods; 2.8.5. Application of the Multi-Layer Perceptron neural network; 2.9. Time-domain damage detection methods for linear systems; 2.9.1. Parity equation method; 2.9.2. Kalman filters; 2.9.3. AR and ARX models; 2.10. Damage identification in non-linear systems; 2.10.1. Extended Kalman filter; 2.10.2. Localization of damage using filter banks; 2.10.3. A simulation study on a beam with opening and closing crack; 2.11. Applications
2.11.1. I-40 bridge
Record Nr. UNINA-9910677215403321
London ; ; Newport Beach, CA, : ISTE, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui