arXiv Open Access 2021

Diagnosable-by-Design Model-Driven Development for IEC 61499 Industrial Cyber-Physical Systems

Barry Dowdeswell Roopak Sinha Stephen G. MacDonell
Lihat Sumber

Abstrak

Integrating the design and creation of fault identification and diagnostic capabilities into Model-Driven Development methodologies is one approach to enhancing the resilience of Industrial Cyber-Physical Systems. We present a Fault Diagnostic Engine designed to recognise and diagnose faults in IEC 61499 Function Block Applications. Using diagnostic agents that interact directly with the target application, we demonstrate fault monitoring and analysis techniques and as well as failure scenario intervention. By designing and building fault diagnostic resources during early phases of Model-Driven Development, both iterative testing and long-term fault management capabilities can be created. While applying and refining appropriate model artifacts, we demonstrate that the concurrent development of function blocks alongside fault management capabilities is both feasible and worthwhile.

Topik & Kata Kunci

Penulis (3)

B

Barry Dowdeswell

R

Roopak Sinha

S

Stephen G. MacDonell

Format Sitasi

Dowdeswell, B., Sinha, R., MacDonell, S.G. (2021). Diagnosable-by-Design Model-Driven Development for IEC 61499 Industrial Cyber-Physical Systems. https://arxiv.org/abs/2105.03909

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓