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.
Insights and Advancements in Microfluidics / Weihua Li, Hengdong Xi, Say Tan
Insights and Advancements in Microfluidics / Weihua Li, Hengdong Xi, Say Tan
Autore Li Weihua
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2017
Descrizione fisica 1 electronic resource (VI, 287 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato Perspective
Insights
Lab on a chip
Development
Advancement
Microfluidics
ISBN 9783038425175
3038425176
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910220063303321
Li Weihua  
MDPI - Multidisciplinary Digital Publishing Institute, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems / / by Weihua Li, Xiaoli Zhang, Ruqiang Yan
Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems / / by Weihua Li, Xiaoli Zhang, Ruqiang Yan
Autore Li Weihua
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (474 pages)
Disciplina 621.31042
Altri autori (Persone) ZhangXiaoli
YanRuqiang
Soggetto topico Automatic control
Robotics
Automation
Computational intelligence
Industrial engineering
Production engineering
Artificial intelligence
Control, Robotics, Automation
Computational Intelligence
Industrial and Production Engineering
Artificial Intelligence
ISBN 9789819935376
9819935377
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Introduction -- Chapter 2 Supervised SVM based intelligent fault diagnosis methods -- Chapter 3 Semi-supervised Learning Based Intelligent Fault Diagnosis Methods -- Chapter 4 Manifold learning based intelligent fault diagnosis and prognostics -- Chapter 5 Deep learning based machinery fault diagnosis -- Chapter 6 Phase space reconstruction based on machinery system degradation tracking and fault prognostics -- Chapter 7 Complex electro-mechanical system operational reliability assessment and health maintenance.
Record Nr. UNINA-9910746088803321
Li Weihua  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui