Reliability modeling for multistage systems subject to competing failure processes

2021 ◽  
Author(s):  
Hao Lyu ◽  
Zaiyou Yang ◽  
Shuai Wang ◽  
Yaping Zhao ◽  
Michael Pecht
Keyword(s):  
Reliability Modeling

Method for the reliability modeling of selfrepairing onboard information systems

1998 ◽  
Vol 4 (4) ◽  
pp. 55-60
Author(s):  
B.A. Mandziy ◽  
◽  
V.P. Belyaev ◽  
B.Yu. Volotchiy ◽  
◽  
...  
Keyword(s):  
Information Systems ◽  
Reliability Modeling

A Note on Shot-Noise and Reliability Modeling,

1984 ◽  
Author(s):  
A. J. Lemoine ◽  
M. L. Wenocur
Keyword(s):  
Shot Noise ◽  
Reliability Modeling

scholarly journals Intelligent long-term performance analysis in power electronics systems

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Saeed Peyghami ◽  
Tomislav Dragicevic ◽  
Frede Blaabjerg
Keyword(s):  
Performance Indicator ◽  
Thermal Characteristics ◽  
Operating Conditions ◽  
System Level ◽  
Power Electronic ◽  
Reliability Modeling ◽  
Artificial Neural Network Ann ◽  
Long Term Performance ◽  
Term Performance

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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