TY - GEN
T1 - Sustainability of ICPS from a Safety Perspective
T2 - 32nd IEEE International Symposium on Industrial Electronics, ISIE 2023
AU - Alfarizi, Muhammad Gibran
AU - Liu, Jie
AU - Vatn, Jørn
AU - Yin, Shen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The growth of Industrial Cyber-Physical Systems (ICPS) has boosted industrial processes' effectiveness, security, and sustainability. Nevertheless, preserving the sustainability of ICPS is a complex challenge, especially in dynamic and unpredictable conditions. Fault diagnosis, prognosis, and remaining useful life prediction are crucial for ICPS sustainability in terms of safety, as they enable timely and effective maintenance to extend the system's lifespan. This paper presents a perspective on the current state-of-the-art in the safety of ICPS, emphasizing fault diagnosis, prognosis, and remaining useful life prediction. Key findings from existing literature are summarized, academic gaps are identified, and research challenges are highlighted. The paper offers suggestions for addressing the gaps, advancing ICPS sustainability, and ensuring secure and reliable operation.
AB - The growth of Industrial Cyber-Physical Systems (ICPS) has boosted industrial processes' effectiveness, security, and sustainability. Nevertheless, preserving the sustainability of ICPS is a complex challenge, especially in dynamic and unpredictable conditions. Fault diagnosis, prognosis, and remaining useful life prediction are crucial for ICPS sustainability in terms of safety, as they enable timely and effective maintenance to extend the system's lifespan. This paper presents a perspective on the current state-of-the-art in the safety of ICPS, emphasizing fault diagnosis, prognosis, and remaining useful life prediction. Key findings from existing literature are summarized, academic gaps are identified, and research challenges are highlighted. The paper offers suggestions for addressing the gaps, advancing ICPS sustainability, and ensuring secure and reliable operation.
KW - Fault Diagnosis
KW - Industrial Cyber-Physical Systems (ICPS)
KW - Prognosis
KW - Remaining Useful Life Prediction
KW - Sustainability
UR - https://www.scopus.com/pages/publications/85172142366
U2 - 10.1109/ISIE51358.2023.10228030
DO - 10.1109/ISIE51358.2023.10228030
M3 - 会议稿件
AN - SCOPUS:85172142366
T3 - IEEE International Symposium on Industrial Electronics
BT - 2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 June 2023 through 21 June 2023
ER -