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Deep learning-based detection of catenary support component defect and fault in high-speed railways / / Zhigang Liu, Wenqiang Liu, and Junping Zhong
Deep learning-based detection of catenary support component defect and fault in high-speed railways / / Zhigang Liu, Wenqiang Liu, and Junping Zhong
Autore Liu Zhigang
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore Pte Ltd., , [2023]
Descrizione fisica 1 online resource (XIII, 239 p. 212 illus., 149 illus. in color.)
Disciplina 006.31
Collana Advances in High-speed Rail Technology
Soggetto topico Deep learning (Machine learning)
Fault location (Engineering)
High speed trains
ISBN 981-9909-53-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview of Catenary Detection of Electrified Railways -- Advance of Deep Learning -- Catenary Support Components and their Characteristics in High-speed Railways -- Preprocessing of Catenary Support Components’ Images -- Positioning of Catenary Support Components -- Detection of Catenary Support Component Defect and Fault -- Detection of The parameters of Catenary Support Devices based on 3D Point Clouds.
Record Nr. UNINA-9910686480303321
Liu Zhigang  
Singapore : , : Springer Nature Singapore Pte Ltd., , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Detection and Estimation Research of High-speed Railway Catenary [[electronic resource] /] / by Zhigang Liu
Detection and Estimation Research of High-speed Railway Catenary [[electronic resource] /] / by Zhigang Liu
Autore Liu Zhigang
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIV, 287 p. 238 illus., 162 illus. in color.)
Disciplina 385.22
Collana Advances in High-speed Rail Technology
Soggetto topico Transportation
Electrical engineering
Mechatronics
Electrical Engineering
ISBN 9789811027536
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Detection and Estimation Research Overview of High-speed Railway Catenary -- Statistical Characteristics of Pantograph-Catenary Contact Pressure Data -- Wave Characteristic of Contact Line Considering Wind -- Geometry Parameters Detection of Catenary -- Slide Fault Detection of Pantograph -- Fault Detection of Catenary Support System -- Wire Irregularities Detection of Contact Line -- Estimation of Catenary Based on Spectrum.
Record Nr. UNINA-9910254321403321
Liu Zhigang  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Maglev Trains [[electronic resource] ] : Key Underlying Technologies / / by Zhigang Liu, Zhiqiang Long, Xiaolong Li
Maglev Trains [[electronic resource] ] : Key Underlying Technologies / / by Zhigang Liu, Zhiqiang Long, Xiaolong Li
Autore Liu Zhigang
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (224 p.)
Disciplina 620
621.317
629.2
629.8
658.26
Collana Springer Tracts in Mechanical Engineering
Soggetto topico Control engineering
Robotics
Mechatronics
Automotive engineering
Power electronics
Energy efficiency
Control, Robotics, Mechatronics
Automotive Engineering
Power Electronics, Electrical Machines and Networks
Energy Efficiency
ISBN 3-662-45673-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Maglev Train Overview -- Technology Development and Application Research of Maglev Control -- Modeling and Controller Design of Suspension System of Maglev Train -- Control and Diagnosis System of Maglev Train -- Maglev Train Control and Diagnosis Networks -- The Position and Speed Detection Technology Based on Loop-cable for Low-speed Maglev Train.
Record Nr. UNINA-9910299821903321
Liu Zhigang  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui