TY - JOUR
T1 - Taxonomy of Faults Influencing the Quality of Automation Production Systems
AU - Badr, I.
AU - Vogel-Heuser, B.
N1 - Publisher Copyright:
© 2016
PY - 2018
Y1 - 2018
N2 - The development of automation production systems (aPS) is an ongoing task characterized by incremental changes to evolve the system to adapt to the increasingly volatile requirements and technological changes. Insuring a high quality for the system undergoing developmental changes is indispensable in the field of automation systems. The identification of possible faults that may arise due to intended or unintended changes to the aPS as well as their effect on quality can help in avoiding system failures and maintaining the desired performance. Towards this objective, taxonomy of aPS faults is proposed and used to derive possible influences on the different aspects of the system quality. This taxonomy adopts a comprehensive viewpoint by considering physical as well as human faults occurring throughout the entire aPS life cycle. The feasibility of the proposed taxonomy is demonstrated based on an aPS lab size demonstrator and by considering different fault scenarios.
AB - The development of automation production systems (aPS) is an ongoing task characterized by incremental changes to evolve the system to adapt to the increasingly volatile requirements and technological changes. Insuring a high quality for the system undergoing developmental changes is indispensable in the field of automation systems. The identification of possible faults that may arise due to intended or unintended changes to the aPS as well as their effect on quality can help in avoiding system failures and maintaining the desired performance. Towards this objective, taxonomy of aPS faults is proposed and used to derive possible influences on the different aspects of the system quality. This taxonomy adopts a comprehensive viewpoint by considering physical as well as human faults occurring throughout the entire aPS life cycle. The feasibility of the proposed taxonomy is demonstrated based on an aPS lab size demonstrator and by considering different fault scenarios.
KW - automation production systems
KW - fault detection
KW - fault identification
KW - fault taxonomy
KW - quality estimation
UR - http://www.scopus.com/inward/record.url?scp=85050968647&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2018.06.243
DO - 10.1016/j.ifacol.2018.06.243
M3 - Article
AN - SCOPUS:85050968647
SN - 2405-8963
VL - 51
SP - 95
EP - 102
JO - 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2018: Faro, Portugal, 6-8 June 2018
JF - 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2018: Faro, Portugal, 6-8 June 2018
IS - 10
ER -