Reliability assessment of electronic components exposed to long-term non-operating conditions

AbstractThis paper proposes a long-term performance indicator for power electronic converters based on their reliability. The converter reliability is represented by the proposed constant lifetime curves, which have been developed using Artificial Neural Network (ANN) under different operating conditions. Unlike the state-of-the-art theoretical reliability modeling approaches, which employ detailed electro-thermal characteristics and lifetime models of converter components, the proposed method provides a nonparametric surrogate model of the converter based on limited non-linear data from theoretical reliability analysis. The proposed approach can quickly predict the converter lifetime under given operating conditions without a further need for extended, time-consuming electro-thermal analysis. Moreover, the proposed lifetime curves can present the long-term performance of converters facilitating optimal system-level design for reliability, reliable operation and maintenance planning in power electronic systems. Numerical case studies evaluate the effectiveness of the proposed reliability modeling approach.

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TM LDH Meets Birnessite: A 2D‐2D Hybrid Catalyst with Long‐term Stability for Water Oxidation at Industrial Operating Conditions

Angewandte Chemie International Edition ◽

10.1002/anie.202016064 ◽

2021 ◽

Author(s):

Xia Long ◽

Zhuwen Chen ◽

Min Ju ◽

Mingzi Sun ◽

Li Jin ◽

...

Keyword(s):

Water Oxidation ◽

Operating Conditions ◽

Hybrid Catalyst ◽

Term Stability ◽

Long Term Stability

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Ni-based bimetallic nano-catalysts anchored on BaZr0.4Ce0.4Y0.1Yb0.1O3−δ for internal steam reforming of methane in a low-temperature proton-conducting ceramic fuel cell

Journal of Materials Chemistry A ◽

10.1039/d0ta11359j ◽

2021 ◽

Author(s):

Kyungpyo Hong ◽

Stephanie Nadya Sutanto ◽

Jeong A. Lee ◽

Jongsup Hong

Keyword(s):

Steam Reforming ◽

Low Temperatures ◽

Operating Conditions ◽

Hydrogen Yield ◽

Carbon Formation ◽

Long Term Stability ◽

Ceramic Fuel Cell ◽

Ceramic Fuel ◽

Nano Catalysts

Ni–Rh and Ni–Co nano-scale alloys exhibit high methane conversion, hydrogen yield, resistance to carbon formation, and long-term stability at low temperatures, allowing them to cope with the various operating conditions of direct methane-fueled PCFCs.

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Efficient Analysis of a Catenary Riser

Volume 1: Offshore Technology; Offshore Wind Energy; Ocean Research Technology; LNG Specialty Symposium ◽

10.1115/omae2006-92308 ◽

2006 ◽

Cited By ~ 6

Author(s):

Elizabeth Passano ◽

Carl M. Larsen

Keyword(s):

Operating Conditions ◽

Stochastic Simulations ◽

Worst Case ◽

Nonlinear Structure ◽

Tension Response ◽

Extreme Response ◽

Analysis Strategies ◽

Low Tension ◽

Term Response

The paper deals with the challenge of predicting the extreme response of catenary risers, a topic of both industry and academic interest. Large heave motions introduced at the upper end of a catenary riser can lead to compression and large bending moments in the region immediately above the touch down area. In the worst case, dynamic beam buckling may occur. The focus of the paper will be on understanding the riser behaviour in extreme, low-tension response and in establishing suitable analysis strategies to predict the extreme response. Results from long nonlinear stochastic simulations of many sea states with varying environmental and operating conditions may be combined to describe the long-term response of a nonlinear structure such as a catenary riser. However, this theoretically straight-forward approach is very demanding computationally and ways to limit the extent of nonlinear stochastic simulations are therefore sought. The usefulness of simpler methods such as regular wave analysis to improve understanding of the physical behaviour and to aid in concentrating the nonlinear simulations to where they are most useful, will be demonstrated.

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