A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application

Sajjad Bahrebar, Frede Blaabjerg, Huai Wang, Navid Vafamand, Mohammad Hassan Khooban, Sima Rastayesh, Dao Zhou

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4 Citationer (Scopus)
50 Downloads (Pure)

Resumé

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.
OriginalsprogEngelsk
Artikelnummer721
TidsskriftEnergies
Vol/bind11
Udgave nummer4
Antal sider16
ISSN1996-1073
DOI
StatusUdgivet - 2018

Fingerprint

Failure Modes and Effects Analysis
Fuel Cell
Risk Analysis
Risk analysis
Fuzzy systems
Proton exchange membrane fuel cells (PEMFC)
Fuzzy Systems
Power System
Failure modes
Fuzzy Logic
Fuzzy logic
Membrane
Power generation
Fuel cells
Oceanographic equipment
Industry
Ship propulsion
Fueling
Fuzzy Logic System
Energy

Emneord

  • Proton Exchange Membrane Fuel Cell (PEMFC)
  • failure mode and effect analysis (FMEA)
  • risk priority number (RPN)
  • general type II fuzzy logic

Citer dette

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title = "A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application",
abstract = "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.",
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author = "Sajjad Bahrebar and Frede Blaabjerg and Huai Wang and Navid Vafamand and Khooban, {Mohammad Hassan} and Sima Rastayesh and Dao Zhou",
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A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application. / Bahrebar, Sajjad; Blaabjerg, Frede; Wang, Huai; Vafamand, Navid; Khooban, Mohammad Hassan; Rastayesh, Sima; Zhou, Dao.

I: Energies, Bind 11, Nr. 4, 721, 2018.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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

PY - 2018

Y1 - 2018

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 - Proton Exchange Membrane Fuel Cell (PEMFC)

KW - failure mode and effect analysis (FMEA)

KW - risk priority number (RPN)

KW - general type II fuzzy logic

KW - Proton Exchange Membrane Fuel Cell (PEMFC)

KW - failure mode and effect analysis (FMEA)

KW - risk priority number (RPN)

KW - general type II fuzzy logic

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VL - 11

JO - Energies

JF - Energies

SN - 1996-1073

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