Advanced Manufacturing Technology and Systems / / edited by Youqiang Xing, Xiuqing Hao, Duanzhi Duan |
Pubbl/distr/stampa | Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
Descrizione fisica | 1 online resource (316 pages) |
Disciplina | 670 |
Soggetto topico |
Machinery - Reliability
Manufacturing processes - Automation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910729788703321 |
Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Dynamical Systems Theory / / edited by Jan Awrejcewicz |
Pubbl/distr/stampa | London, England : , : IntechOpen, , 2020 |
Descrizione fisica | 1 online resource (184 pages) |
Disciplina | 621.816 |
Soggetto topico |
Machinery - Reliability
Machinery - Maintenance and repair |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910688474803321 |
London, England : , : IntechOpen, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Improving machinery reliability [e-book] / Heinz P. Bloch |
Autore | Bloch, Heinz P., 1933- |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Houston, Tex : Gulf Pub. Co., c1998 |
Descrizione fisica | xxiii, 680 p. : ill. ; 24 cm |
Disciplina | 621.1 |
Collana | Practical machinery management for process plants ; v. 1 |
Soggetto topico | Machinery - Reliability |
Soggetto genere / forma | Electronic books. |
ISBN |
9780884156611
0884156613 |
Formato | Risorse elettroniche ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Requirements specifications. Vendor selection and bid conditioning. Machinery reliability audits and reviews. Maintenance and benchmarking reliability. Life cycle cost studies. Extending motor life in the process plant environment. Equipment reliability improvement through reduced pipe stress. Spare parts and their effect on service factor. Startup responsibilities. Maintenance for continued reliability. Maintenance cost reduction. Lubrication and reliability. Providing safety and reliability through modern sealing technology. Appendix. Index |
Record Nr. | UNISALENTO-991003227409707536 |
Bloch, Heinz P., 1933-
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Houston, Tex : Gulf Pub. Co., c1998 | ||
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Lo trovi qui: Univ. del Salento | ||
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Journal of machinery manufacture and reliability |
Pubbl/distr/stampa | [New York, NY] : , : Allerton Press |
Disciplina | 621 |
Soggetto topico |
Mechanical engineering
Machinery - Reliability |
Soggetto genere / forma | Periodicals. |
ISSN | 1934-9394 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910131813603321 |
[New York, NY] : , : Allerton Press | ||
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Lo trovi qui: Univ. Federico II | ||
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Journal of machinery manufacture and reliability |
Pubbl/distr/stampa | [New York, NY] : , : Allerton Press |
Disciplina | 621 |
Soggetto topico |
Mechanical engineering
Machinery - Reliability |
Soggetto genere / forma | Periodicals. |
ISSN | 1934-9394 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996212801403316 |
[New York, NY] : , : Allerton Press | ||
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Lo trovi qui: Univ. di Salerno | ||
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Machinery prognostics and prognosis oriented maintenance management / / Jihong Yan |
Autore | Yan Jihong |
Pubbl/distr/stampa | Singapore : , : Wiley, , 2015 |
Descrizione fisica | 1 online resource (356 p.) |
Disciplina | 621.8/16 |
Soggetto topico |
Machinery - Maintenance and repair
Machinery - Service life Machinery - Reliability |
ISBN |
1-118-63876-X
1-118-63874-3 1-118-63875-1 |
Classificazione | TEC032000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine generated contents note: Preface i Acknowledgements i Chapter 1 Introduction 7 1.1 Historical perspective 7 1.2 Diagnostic and prognostic system requirements 8 1.3 Need for prognostics and sustainability based maintenance management 9 1.4 Technical challenges in prognosis and sustainability based maintenance decision making 11 1.5 Data processing, prognostics and decision making 13 1.6 Sustainability based maintenance management 16 1.7 Future of prognostics based maintenance 19 References 20 Chapter 2 Data processing 21 2.1 Probability Distributions 21 2.2 Statistics on Unordered data 32 2.3 Statistics on Ordered Data 38 2.4 Technologies for incomplete data 39 References 428 Chapter 3 Signal processing 45 3.1 Introduction 45 3.2 Signal pre-processing 47 3.3 Techniques for signal processing 50 3.4 Real-time image feature extraction 72 3.5 Fusion or integration technologies 77 3.6 Statistical pattern recognition and data mining 80 3.7 Advanced technology for feature extraction 92 References 102 Chapter 4 Health monitoring and prognosis 110 4.1 Health monitoring as a concept 110 4.2 Degradation indices 111 4.3 Real-time monitoring 116 4.4 Failure prognosis 142 4.5 Physics-based prognosis models 155 4.6 Data-driven prognosis models 158 4.7 Hybrid prognosis models 162 Reference 165 Chapter 5 Prediction of residual service life 172 5.1 Formulation of problem 172 5.2 Methodology of probabilistic prediction 173 5.3 Dynamic life prediction using time series 180 5.4 Residual life prediction by crack-growth criterion 197 References 202 Chapter 6 Maintenance planning and scheduling 205 6.1 Strategic planning in maintenance 205 6.2 Maintenance scheduling 219 6.3 Scheduling techniques 232 6.4 Heuristic methodology for multi-unit system maintenance scheduling 261 References 266 Chapter 7 Prognosis incorporating maintenance decision making 270 7.1 The changing role of maintenance 270 7.2 Development of maintenance 272 7.3 Maintenance effects modeling 274 7.4 Modeling of optimization objective - maintenance cost 282 7.5 Prognosis oriented maintenance decision making 284 7.6 Maintenance decision making considering energy consumption 301 References 317 Chapter 8 Case studies 321 8.1 Improved Hilbert-Huang transform based weak signal detection methodology and its application on incipient fault diagnosis and ECG signal analysis 322 8.2 Ant colony clustering analysis based intelligent fault diagnosis method and its application to rotating machinery 329 8.3 BP Neural Networks Based Prognostic Methodology and Its Application 336 8.4 A Dynamic Multi-scale Markov Model Based Methodology for Remaining Life Prediction 343 8.5 A group technology based methodology for maintenance scheduling for hybrid shop 358 References 365 Index 369. |
Record Nr. | UNINA-9910140498703321 |
Yan Jihong
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Singapore : , : Wiley, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machinery prognostics and prognosis oriented maintenance management / / Jihong Yan |
Autore | Yan Jihong |
Pubbl/distr/stampa | Singapore : , : Wiley, , 2015 |
Descrizione fisica | 1 online resource (356 p.) |
Disciplina | 621.8/16 |
Soggetto topico |
Machinery - Maintenance and repair
Machinery - Service life Machinery - Reliability |
ISBN |
1-118-63876-X
1-118-63874-3 1-118-63875-1 |
Classificazione | TEC032000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine generated contents note: Preface i Acknowledgements i Chapter 1 Introduction 7 1.1 Historical perspective 7 1.2 Diagnostic and prognostic system requirements 8 1.3 Need for prognostics and sustainability based maintenance management 9 1.4 Technical challenges in prognosis and sustainability based maintenance decision making 11 1.5 Data processing, prognostics and decision making 13 1.6 Sustainability based maintenance management 16 1.7 Future of prognostics based maintenance 19 References 20 Chapter 2 Data processing 21 2.1 Probability Distributions 21 2.2 Statistics on Unordered data 32 2.3 Statistics on Ordered Data 38 2.4 Technologies for incomplete data 39 References 428 Chapter 3 Signal processing 45 3.1 Introduction 45 3.2 Signal pre-processing 47 3.3 Techniques for signal processing 50 3.4 Real-time image feature extraction 72 3.5 Fusion or integration technologies 77 3.6 Statistical pattern recognition and data mining 80 3.7 Advanced technology for feature extraction 92 References 102 Chapter 4 Health monitoring and prognosis 110 4.1 Health monitoring as a concept 110 4.2 Degradation indices 111 4.3 Real-time monitoring 116 4.4 Failure prognosis 142 4.5 Physics-based prognosis models 155 4.6 Data-driven prognosis models 158 4.7 Hybrid prognosis models 162 Reference 165 Chapter 5 Prediction of residual service life 172 5.1 Formulation of problem 172 5.2 Methodology of probabilistic prediction 173 5.3 Dynamic life prediction using time series 180 5.4 Residual life prediction by crack-growth criterion 197 References 202 Chapter 6 Maintenance planning and scheduling 205 6.1 Strategic planning in maintenance 205 6.2 Maintenance scheduling 219 6.3 Scheduling techniques 232 6.4 Heuristic methodology for multi-unit system maintenance scheduling 261 References 266 Chapter 7 Prognosis incorporating maintenance decision making 270 7.1 The changing role of maintenance 270 7.2 Development of maintenance 272 7.3 Maintenance effects modeling 274 7.4 Modeling of optimization objective - maintenance cost 282 7.5 Prognosis oriented maintenance decision making 284 7.6 Maintenance decision making considering energy consumption 301 References 317 Chapter 8 Case studies 321 8.1 Improved Hilbert-Huang transform based weak signal detection methodology and its application on incipient fault diagnosis and ECG signal analysis 322 8.2 Ant colony clustering analysis based intelligent fault diagnosis method and its application to rotating machinery 329 8.3 BP Neural Networks Based Prognostic Methodology and Its Application 336 8.4 A Dynamic Multi-scale Markov Model Based Methodology for Remaining Life Prediction 343 8.5 A group technology based methodology for maintenance scheduling for hybrid shop 358 References 365 Index 369. |
Record Nr. | UNINA-9910824702503321 |
Yan Jihong
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Singapore : , : Wiley, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Prognostics and health management : a practical approach to improving system reliability using conditioned-based data / / Douglas Goodman, James P. Hofmeister and Ferenc Szidarovszky |
Autore | Goodman Douglas (Industrial engineer) |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2019] |
Descrizione fisica | 1 online resource (385 pages) |
Disciplina | 621.816 |
Soggetto topico |
Machinery - Reliability
Equipment health monitoring Machinery - Maintenance and repair - Planning Structural failures - Mathematical models |
ISBN |
1-119-35670-9
1-119-35669-5 1-119-35667-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910555073903321 |
Goodman Douglas (Industrial engineer)
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Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2019] | ||
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Lo trovi qui: Univ. Federico II | ||
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Prognostics and health management : a practical approach to improving system reliability using conditioned-based data / / Douglas Goodman, James P. Hofmeister and Ferenc Szidarovszky |
Autore | Goodman Douglas (Industrial engineer) |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2019] |
Descrizione fisica | 1 online resource (385 pages) |
Disciplina | 621.816 |
Soggetto topico |
Machinery - Reliability
Equipment health monitoring Machinery - Maintenance and repair - Planning Structural failures - Mathematical models |
ISBN |
1-119-35670-9
1-119-35669-5 1-119-35667-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910820139703321 |
Goodman Douglas (Industrial engineer)
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Hoboken, New Jersey ; ; Chichester, West Sussex, England : , : Wiley, , [2019] | ||
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Lo trovi qui: Univ. Federico II | ||
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Prognostics and System Health Management Conference : [proceedings] |
Pubbl/distr/stampa | Piscataway, NJ, : Institute of Electrical and Electronic Engineers |
Disciplina | 621.382 |
Soggetto topico |
Machinery - Reliability
Machinery - Maintenance and repair Service life (Engineering) |
Soggetto genere / forma |
Periodicals.
Conference papers and proceedings. |
ISSN | 2166-5656 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti |
PHM
IEEE Conference on Prognostics and System Health Management |
Record Nr. | UNINA-9910626153903321 |
Piscataway, NJ, : Institute of Electrical and Electronic Engineers | ||
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Lo trovi qui: Univ. Federico II | ||
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