top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Structural health monitoring [[electronic resource] ] : a machine learning perspective / / Charles R. Farrar, Keith Worden
Structural health monitoring [[electronic resource] ] : a machine learning perspective / / Charles R. Farrar, Keith Worden
Autore Farrar C. R (Charles R.)
Pubbl/distr/stampa Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (655 p.)
Disciplina 624.1/71
624.171
Altri autori (Persone) WordenK
Soggetto topico Structural health monitoring
Soggetto genere / forma Electronic books.
ISBN 1-118-44311-X
1-299-18678-5
1-118-44320-9
1-118-44321-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto STRUCTURAL HEALTH MONITORING; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 How Engineers and Scientists Study Damage; 1.2 Motivation for Developing SHM Technology; 1.3 Definition of Damage; 1.4 A Statistical Pattern Recognition Paradigm for SHM; 1.4.1 Operational Evaluation; 1.4.2 Data Acquisition; 1.4.3 Data Normalisation; 1.4.4 Data Cleansing; 1.4.5 Data Compression; 1.4.6 Data Fusion; 1.4.7 Feature Extraction; 1.4.8 Statistical Modelling for Feature Discrimination; 1.5 Local versus Global Damage Detection; 1.6 Fundamental Axioms of Structural Health Monitoring
1.7 The Approach Taken in This BookReferences; 2 Historical Overview; 2.1 Rotating Machinery Applications; 2.1.1 Operational Evaluation for Rotating Machinery; 2.1.2 Data Acquisition for Rotating Machinery; 2.1.3 Feature Extraction for Rotating Machinery; 2.1.4 Statistical Modelling for Damage Detection in Rotating Machinery; 2.1.5 Concluding Comments about Condition Monitoring of Rotating Machinery; 2.2 Offshore Oil Platforms; 2.2.1 Operational Evaluation for Offshore Platforms; 2.2.2 Data Acquisition for Offshore Platforms; 2.2.3 Feature Extraction for Offshore Platforms
2.2.4 Statistical Modelling for Offshore Platforms2.2.5 Lessons Learned from Offshore Oil Platform Structural Health Monitoring Studies; 2.3 Aerospace Structures; 2.3.1 Operational Evaluation for Aerospace Structures; 2.3.2 Data Acquisition for Aerospace Structures; 2.3.3 Feature Extraction and Statistical Modelling for Aerospace Structures; 2.3.4 Statistical Models Used for Aerospace SHM Applications; 2.3.5 Concluding Comments about Aerospace SHM Applications; 2.4 Civil Engineering Infrastructure; 2.4.1 Operational Evaluation for Bridge Structures
2.4.2 Data Acquisition for Bridge Structures2.4.3 Features Based on Modal Properties; 2.4.4 Statistical Classification of Features for Civil Engineering Infrastructure; 2.4.5 Applications to Bridge Structures; 2.5 Summary; References; 3 Operational Evaluation; 3.1 Economic and Life-Safety Justifications for Structural Health Monitoring; 3.2 Defining the Damage to Be Detected; 3.3 The Operational and Environmental Conditions; 3.4 Data Acquisition Limitations; 3.5 Operational Evaluation Example: Bridge Monitoring; 3.6 Operational Evaluation Example: Wind Turbines
3.7 Concluding Comment on Operational EvaluationReferences; 4 Sensing and Data Acquisition; 4.1 Introduction; 4.2 Sensing and Data Acquisition Strategies for SHM; 4.2.1 Strategy I; 4.2.2 Strategy II; 4.3 Conceptual Challenges for Sensing and Data Acquisition Systems; 4.4 What Types of Data Should Be Acquired?; 4.4.1 Dynamic Input and Response Quantities; 4.4.2 Other Damage-Sensitive Physical Quantities; 4.4.3 Environmental Quantities; 4.4.4 Operational Quantities; 4.5 Current SHM Sensing Systems; 4.5.1 Wired Systems; 4.5.2 Wireless Systems; 4.6 Sensor Network Paradigms
4.6.1 Sensor Arrays Directly Connected to Central Processing Hardware
Record Nr. UNINA-9910141509303321
Farrar C. R (Charles R.)  
Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural health monitoring [[electronic resource] ] : a machine learning perspective / / Charles R. Farrar, Keith Worden
Structural health monitoring [[electronic resource] ] : a machine learning perspective / / Charles R. Farrar, Keith Worden
Autore Farrar C. R (Charles R.)
Pubbl/distr/stampa Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (655 p.)
Disciplina 624.1/71
624.171
Altri autori (Persone) WordenK
Soggetto topico Structural health monitoring
ISBN 1-118-44311-X
1-299-18678-5
1-118-44320-9
1-118-44321-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto STRUCTURAL HEALTH MONITORING; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 How Engineers and Scientists Study Damage; 1.2 Motivation for Developing SHM Technology; 1.3 Definition of Damage; 1.4 A Statistical Pattern Recognition Paradigm for SHM; 1.4.1 Operational Evaluation; 1.4.2 Data Acquisition; 1.4.3 Data Normalisation; 1.4.4 Data Cleansing; 1.4.5 Data Compression; 1.4.6 Data Fusion; 1.4.7 Feature Extraction; 1.4.8 Statistical Modelling for Feature Discrimination; 1.5 Local versus Global Damage Detection; 1.6 Fundamental Axioms of Structural Health Monitoring
1.7 The Approach Taken in This BookReferences; 2 Historical Overview; 2.1 Rotating Machinery Applications; 2.1.1 Operational Evaluation for Rotating Machinery; 2.1.2 Data Acquisition for Rotating Machinery; 2.1.3 Feature Extraction for Rotating Machinery; 2.1.4 Statistical Modelling for Damage Detection in Rotating Machinery; 2.1.5 Concluding Comments about Condition Monitoring of Rotating Machinery; 2.2 Offshore Oil Platforms; 2.2.1 Operational Evaluation for Offshore Platforms; 2.2.2 Data Acquisition for Offshore Platforms; 2.2.3 Feature Extraction for Offshore Platforms
2.2.4 Statistical Modelling for Offshore Platforms2.2.5 Lessons Learned from Offshore Oil Platform Structural Health Monitoring Studies; 2.3 Aerospace Structures; 2.3.1 Operational Evaluation for Aerospace Structures; 2.3.2 Data Acquisition for Aerospace Structures; 2.3.3 Feature Extraction and Statistical Modelling for Aerospace Structures; 2.3.4 Statistical Models Used for Aerospace SHM Applications; 2.3.5 Concluding Comments about Aerospace SHM Applications; 2.4 Civil Engineering Infrastructure; 2.4.1 Operational Evaluation for Bridge Structures
2.4.2 Data Acquisition for Bridge Structures2.4.3 Features Based on Modal Properties; 2.4.4 Statistical Classification of Features for Civil Engineering Infrastructure; 2.4.5 Applications to Bridge Structures; 2.5 Summary; References; 3 Operational Evaluation; 3.1 Economic and Life-Safety Justifications for Structural Health Monitoring; 3.2 Defining the Damage to Be Detected; 3.3 The Operational and Environmental Conditions; 3.4 Data Acquisition Limitations; 3.5 Operational Evaluation Example: Bridge Monitoring; 3.6 Operational Evaluation Example: Wind Turbines
3.7 Concluding Comment on Operational EvaluationReferences; 4 Sensing and Data Acquisition; 4.1 Introduction; 4.2 Sensing and Data Acquisition Strategies for SHM; 4.2.1 Strategy I; 4.2.2 Strategy II; 4.3 Conceptual Challenges for Sensing and Data Acquisition Systems; 4.4 What Types of Data Should Be Acquired?; 4.4.1 Dynamic Input and Response Quantities; 4.4.2 Other Damage-Sensitive Physical Quantities; 4.4.3 Environmental Quantities; 4.4.4 Operational Quantities; 4.5 Current SHM Sensing Systems; 4.5.1 Wired Systems; 4.5.2 Wireless Systems; 4.6 Sensor Network Paradigms
4.6.1 Sensor Arrays Directly Connected to Central Processing Hardware
Record Nr. UNINA-9910830191503321
Farrar C. R (Charles R.)  
Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural health monitoring : a machine learning perspective / / Charles R. Farrar, Keith Worden
Structural health monitoring : a machine learning perspective / / Charles R. Farrar, Keith Worden
Autore Farrar C. R (Charles R.)
Pubbl/distr/stampa Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (655 p.)
Disciplina 624.1/71
Altri autori (Persone) WordenK
Soggetto topico Structural health monitoring
ISBN 9781118443118
111844311X
9781299186781
1299186785
9781118443200
1118443209
9781118443217
1118443217
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto STRUCTURAL HEALTH MONITORING; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 How Engineers and Scientists Study Damage; 1.2 Motivation for Developing SHM Technology; 1.3 Definition of Damage; 1.4 A Statistical Pattern Recognition Paradigm for SHM; 1.4.1 Operational Evaluation; 1.4.2 Data Acquisition; 1.4.3 Data Normalisation; 1.4.4 Data Cleansing; 1.4.5 Data Compression; 1.4.6 Data Fusion; 1.4.7 Feature Extraction; 1.4.8 Statistical Modelling for Feature Discrimination; 1.5 Local versus Global Damage Detection; 1.6 Fundamental Axioms of Structural Health Monitoring
1.7 The Approach Taken in This BookReferences; 2 Historical Overview; 2.1 Rotating Machinery Applications; 2.1.1 Operational Evaluation for Rotating Machinery; 2.1.2 Data Acquisition for Rotating Machinery; 2.1.3 Feature Extraction for Rotating Machinery; 2.1.4 Statistical Modelling for Damage Detection in Rotating Machinery; 2.1.5 Concluding Comments about Condition Monitoring of Rotating Machinery; 2.2 Offshore Oil Platforms; 2.2.1 Operational Evaluation for Offshore Platforms; 2.2.2 Data Acquisition for Offshore Platforms; 2.2.3 Feature Extraction for Offshore Platforms
2.2.4 Statistical Modelling for Offshore Platforms2.2.5 Lessons Learned from Offshore Oil Platform Structural Health Monitoring Studies; 2.3 Aerospace Structures; 2.3.1 Operational Evaluation for Aerospace Structures; 2.3.2 Data Acquisition for Aerospace Structures; 2.3.3 Feature Extraction and Statistical Modelling for Aerospace Structures; 2.3.4 Statistical Models Used for Aerospace SHM Applications; 2.3.5 Concluding Comments about Aerospace SHM Applications; 2.4 Civil Engineering Infrastructure; 2.4.1 Operational Evaluation for Bridge Structures
2.4.2 Data Acquisition for Bridge Structures2.4.3 Features Based on Modal Properties; 2.4.4 Statistical Classification of Features for Civil Engineering Infrastructure; 2.4.5 Applications to Bridge Structures; 2.5 Summary; References; 3 Operational Evaluation; 3.1 Economic and Life-Safety Justifications for Structural Health Monitoring; 3.2 Defining the Damage to Be Detected; 3.3 The Operational and Environmental Conditions; 3.4 Data Acquisition Limitations; 3.5 Operational Evaluation Example: Bridge Monitoring; 3.6 Operational Evaluation Example: Wind Turbines
3.7 Concluding Comment on Operational EvaluationReferences; 4 Sensing and Data Acquisition; 4.1 Introduction; 4.2 Sensing and Data Acquisition Strategies for SHM; 4.2.1 Strategy I; 4.2.2 Strategy II; 4.3 Conceptual Challenges for Sensing and Data Acquisition Systems; 4.4 What Types of Data Should Be Acquired?; 4.4.1 Dynamic Input and Response Quantities; 4.4.2 Other Damage-Sensitive Physical Quantities; 4.4.3 Environmental Quantities; 4.4.4 Operational Quantities; 4.5 Current SHM Sensing Systems; 4.5.1 Wired Systems; 4.5.2 Wireless Systems; 4.6 Sensor Network Paradigms
4.6.1 Sensor Arrays Directly Connected to Central Processing Hardware
Record Nr. UNINA-9911019192403321
Farrar C. R (Charles R.)  
Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui