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Number of items: 7.
Article
Dinmohammadi, F;
Alkali, B;
Shafiee, M;
Bérenguer, C;
Labib, A;
(2016)
Risk Evaluation of Railway Rolling Stock Failures Using FMECA Technique: A Case Study of Passenger Door System.
Urban Rail Transit
, 2
(3-4)
pp. 128-145.
10.1007/s40864-016-0043-z.
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Dinmohammadi, F;
Arjomandi, MA;
Mosallanezhad, B;
Shafiee, M;
(2021)
A fuzzy DEMATEL-ANP-VIKOR analytical model for maintenance strategy selection of safety critical assets.
Advances in Mechanical Engineering
, 13
(4)
10.1177/1687814021994965.
(In press).
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Dinmohammadi, F;
Flynn, D;
Bailey, C;
Pecht, M;
Yin, C;
Rajaguru, P;
Robu, V;
(2019)
Predicting Damage and Life Expectancy of Subsea Power Cables in Offshore Renewable Energy Applications.
IEEE Access
, 7
pp. 54658-54669.
10.1109/access.2019.2911260.
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Elusakin, T;
Shafiee, M;
Adedipe, T;
Dinmohammadi, F;
(2021)
A Stochastic Petri Net Model for O&M Planning of Floating Offshore Wind Turbines.
Energies
, 14
, Article 1134. 10.3390/en14041134.
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Grenyer, A;
Dinmohammadi, F;
Erkoyuncu, JA;
Zhao, Y;
Roy, R;
(2019)
Current practice and challenges towards handling uncertainty for effective outcomes in maintenance.
Procedia CIRP
, 86
pp. 282-287.
10.1016/j.procir.2020.01.024.
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Shafiee, M;
Zhou, Z;
Mei, L;
Dinmohammadi, F;
Karama, J;
Flynn, D;
(2021)
Unmanned Aerial Drones for Inspection of Offshore Wind Turbines: A Mission-Critical Failure Analysis.
Robotics
, 10
(1)
, Article 26. 10.3390/robotics10010026.
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Stetco, A;
Dinmohammadi, F;
Zhao, X;
Robu, V;
Flynn, D;
Barnes, M;
Keane, J;
(2019)
Machine learning methods for wind turbine condition monitoring: A review.
Renewable Energy
, 133
pp. 620-635.
10.1016/j.renene.2018.10.047.
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