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.
Analysis of historical non-destructive evaluation probability of detection data for railroad tank cars
Analysis of historical non-destructive evaluation probability of detection data for railroad tank cars
Autore Poudel Anish
Pubbl/distr/stampa Washington, DC : , : U.S. Department of Transportation, Federal Railroad Administration, Office of Research, Development and Technology, , April 2021
Descrizione fisica 1 online resource (vi, 46 pages) : color illustrations
Soggetto topico Tank cars - United States - Testing
Nondestructive testing - United States
Ultrasonic testing - United States
Magnetic testing - United States
Soggetto genere / forma Technical reports.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910716789403321
Poudel Anish  
Washington, DC : , : U.S. Department of Transportation, Federal Railroad Administration, Office of Research, Development and Technology, , April 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Automated broken spike detection : phase I
Automated broken spike detection : phase I
Autore Gao Yin
Pubbl/distr/stampa Washington, DC : , : U.S. Department of Transportation, Federal Railroad Administration, Office of Research, Development and Technology, , April 2021
Descrizione fisica 1 online resource (vii, 46 pages) : color illustrations
Soggetto topico Nails and spikes - United States - Testing
Nondestructive testing - United States
Ultrasonic testing - United States
Nails and spikes - Testing
Nondestructive testing
Ultrasonic testing
Soggetto genere / forma Technical reports.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Automated broken spike detection
Record Nr. UNINA-9910716788603321
Gao Yin  
Washington, DC : , : U.S. Department of Transportation, Federal Railroad Administration, Office of Research, Development and Technology, , April 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui