TY - JOUR
T1 - A novel type-2 fuzzy logic for improved risk analysis of proton exchange membrane fuel cells in marine power systems application
AU - Bahrebar, Sajjad
AU - Blaabjerg, Frede
AU - Wang, Huai
AU - Vafamand, Navid
AU - Khooban, Mohammad Hassan
AU - Rastayesh, Sima
AU - Zhou, Dao
N1 - Publisher Copyright:
© 2018 by the authors.
PY - 2018/4
Y1 - 2018/4
N2 - A marine energy system, which is fundamentally not paired with electric grids, should work for an extended period with high reliability. To put it in another way, by employing electrical utilities on a ship, the electrical power demand has been increasing in recent years. Besides, fuel cells in marine power generation may reduce the loss of energy and weight in long cables and provide a platform such that each piece of marine equipment is supplied with its own isolated wire connection. Hence, fuel cells can be promising power generation equipment in the marine industry. Besides, failure modes and effects analysis (FMEA) is widely accepted throughout the industry as a valuable tool for identifying, ranking, and mitigating risks. The FMEA process can help to design safe hydrogen fueling stations. In this paper, a robust FMEA has been developed to identify the potentially hazardous conditions of the marine propulsion system by considering a general type-2 fuzzy logic set. The general type-2 fuzzy system is decomposed of several interval type-2 fuzzy logic systems to reduce the inherent highly computational burden of the general type-2 fuzzy systems. Linguistic rules are directly incorporated into the fuzzy system. Finally, the results demonstrate the success and effectiveness of the proposed approach in computing the risk priority number as compared to state-of-the-art methods.
AB - A marine energy system, which is fundamentally not paired with electric grids, should work for an extended period with high reliability. To put it in another way, by employing electrical utilities on a ship, the electrical power demand has been increasing in recent years. Besides, fuel cells in marine power generation may reduce the loss of energy and weight in long cables and provide a platform such that each piece of marine equipment is supplied with its own isolated wire connection. Hence, fuel cells can be promising power generation equipment in the marine industry. Besides, failure modes and effects analysis (FMEA) is widely accepted throughout the industry as a valuable tool for identifying, ranking, and mitigating risks. The FMEA process can help to design safe hydrogen fueling stations. In this paper, a robust FMEA has been developed to identify the potentially hazardous conditions of the marine propulsion system by considering a general type-2 fuzzy logic set. The general type-2 fuzzy system is decomposed of several interval type-2 fuzzy logic systems to reduce the inherent highly computational burden of the general type-2 fuzzy systems. Linguistic rules are directly incorporated into the fuzzy system. Finally, the results demonstrate the success and effectiveness of the proposed approach in computing the risk priority number as compared to state-of-the-art methods.
KW - Failure mode and effect analysis (FMEA)
KW - General type II fuzzy logic
KW - Proton exchange membrane fuel cell (PEMFC)
KW - Risk priority number (RPN)
UR - http://www.scopus.com/inward/record.url?scp=85044506050&partnerID=8YFLogxK
U2 - 10.3390/en11040721
DO - 10.3390/en11040721
M3 - Article
AN - SCOPUS:85044506050
SN - 1996-1073
VL - 11
JO - Energies
JF - Energies
IS - 4
M1 - 721
ER -
