Constructing a simulable model of a production line is crucial to ensure adequate maintenance, but it is nonetheless too complex due to the presence of highly heterogeneous components. In this perspective, Verilog-AMS is a promising solution, as it allows to cover different levels of details, from transistor-level and digital components to multi-physical dynamics. This paper shows how Verilog-AMS can be used to model production line components by exploiting multiple disciplines effectively. Furthermore, we will prove that Verilog-AMS allows efficient modeling of faults by inserting saboteurs and mutants in multi-physics descriptions. This methodology allows the definition of a multi-discipline fault injection technique that can be used to generate valuable data to support any analysis based on faulty temporal series, like predictive maintenance.

Multi-Discipline Fault Modeling with Verilog-AMS

Nicola Dall'Ora
;
Enrico Fraccaroli;Sara Vinco;Franco Fummi
2021-01-01

Abstract

Constructing a simulable model of a production line is crucial to ensure adequate maintenance, but it is nonetheless too complex due to the presence of highly heterogeneous components. In this perspective, Verilog-AMS is a promising solution, as it allows to cover different levels of details, from transistor-level and digital components to multi-physical dynamics. This paper shows how Verilog-AMS can be used to model production line components by exploiting multiple disciplines effectively. Furthermore, we will prove that Verilog-AMS allows efficient modeling of faults by inserting saboteurs and mutants in multi-physics descriptions. This methodology allows the definition of a multi-discipline fault injection technique that can be used to generate valuable data to support any analysis based on faulty temporal series, like predictive maintenance.
2021
no
Inglese
ELETTRONICO
Esperti anonimi
2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
Victoria, BC, Canada
10-12 May 2021
Internazionale
contributo
IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
978-1-6654-3045-6
237
243
7
Multi-discipline
Fault modeling
Verilog-AMS
https://ieeexplore.ieee.org/document/9468133
restricted
Dall'Ora, Nicola; Fraccaroli, Enrico; Vinco, Sara; Fummi, Franco
4
04 Contributo in atti di convegno::04.01 Contributo in atti di convegno
273
info:eu-repo/semantics/conferenceObject
File in questo prodotto:
File Dimensione Formato  
09468133.pdf

solo utenti autorizzati

Tipologia: Versione dell'editore
Licenza: Accesso ristretto
Dimensione 635.96 kB
Formato Adobe PDF
635.96 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1045842
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 2
social impact