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| Link zu diesem Datensatz | https://d-nb.info/1343658551 |
| Titel | New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques : Advanced Machine Learning Models, Methods and Applications / by Guangrui Wen, Zihao Lei, Xuefeng Chen, Xin Huang |
| Person(en) |
Wen, Guangrui (Verfasser) Lei, Zihao (Verfasser) Chen, Xuefeng (Verfasser) Huang, Xin (Verfasser) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XVII, 349 p. 190 illus., 182 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9711-75-8 Printed edition:: ISBN: 978-981-9711-77-2 Printed edition:: ISBN: 978-981-9711-78-9 |
| Inhalt | Introduction -- Overview of Intelligent Fault Diagnosis and Maintenance for Rotating Machinery -- Deep Learning and Sparse Representation Coupled Intelligent Diagnosis and Maintenance -- Sparse Model-Driven Deep Learning for Weak Fault Diagnosis of Rolling Bearings -- Memory Residual Regression Autoencoder for Bearing Fault Detection -- Transfer Learning-based Intelligent Diagnosis and Maintenance -- Fault Diagnosis of Polytropic Conditions Based on Transfer Learning -- Performance Degradation Assessment Based on Transfer learning for Bearing -- Remaining Useful Life Prediction on -- Transfer Learning for Bearing -- Adversarial Learning-based Intelligent Diagnosis and Maintenance -- Deep Sequence Multi-distribution Adversarial Model for Abnormal Condition Detection in Industry -- Multi-Scale Lightweight Fault Diagnosis Model Based on Adversarial Learning -- Performance Degradation Assessment Based on Adversarial Learning for Bearing -- Graph-structured Information-based Intelligent Diagnosisand Maintenance -- Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis -- Community Clustering Algorithms and Its Application in Machine Fault Diagnosis -- Remaining Life Assessment of Rolling Bearing Based on Graph Neural Network -- Multi-source Information Fusion-based Intelligent Diagnosis and Maintenance -- Intelligent Fault Diagnosis Method Based on Multi-source Data and Multi-Feature Fusion -- D-S Evidence Theory and Its Application for Fault Diagnosis of Machinery -- Conclusion, Challenges, and Future Work -- Conclusion, Challenges, and Future Work |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2410010512210.589589159984 DOI: 10.1007/978-981-97-1176-5 |
| URL | https://doi.org/10.1007/978-981-97-1176-5 |
| ISBN/Einband/Preis | 978-981-97-1176-5 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Smart Sensors, Measurement and Instrumentation ; 46 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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