Search for Author, Title, Keyword
RESEARCH PAPER
Physics-of-failure and computer-aided simulation fusion approach with a software system for electronics reliability analysis
Bo Sun 1
,
 
,
 
,
 
,
 
,
 
Yi Ren 1
,
 
,
 
,
 
 
 
 
More details
Hide details
1
School of Reliability and Systems Engineering Beihang University 100191, Beijing, China
 
 
Publication date: 2020-06-30
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(2):340-351
 
KEYWORDS
ABSTRACT
Electronics, such as those used in the communication, aerospace and energy domains, often have high reliability requirements. To reduce the development and testing cost of electronics, reliability analysis needs to be incorporated into the design stage. Compared with traditional approaches, the physics of failure (PoF) methodology can better address cost reduction in the design stage. However, there are many difficulties in practical engineering applications, such as processing large amounts of engineering information simultaneously. Therefore, a flexible approach and a software system for assisting designers in developing a reliability analysis based on the PoF method in electronic product design processing are proposed. This approach integrates the PoF method and computer-aided simulation methods, such as CAD, FEM and CFD.The software system integrates functional modules such as product modeling, load-stress analysis and reliability analysis, which can help designers analyze the reliability of electronic products in actual engineering design. This system includes software and hardware that validate the simulation models. Finally, a case study is proposed in which the software system is used to analyze the filter module reliability of an industrial communication system. The results of the analysis indicate that the system can effectively promote reliability and can ensure the accuracy of analysis with high computing efficiency.
 
REFERENCES (33)
1.
Allemang RJ. The modal assurance criterion - twenty years of use and abuse. Sound and Vibration, 2003, 37: 14-23.
 
2.
Chatterjee K, Modarres M, Bernstein J B, Nicholls D. Celebrating fifty years of physics of failure. In 2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS), IEEE 2013: 1-6, https://doi.org/10.1109/RAMS.2....
 
3.
Evans J, Cushing M J, Lall P, Bauernschub R. A physics-of-failure (POF) approach to addressing device reliability in accelerated testing of MCMs. In Proceedings of 1995 IEEE Multi-Chip Module Conference (MCMC-95), IEEE, 1995: 14-25.
 
4.
Foucher B, Boullie J, Meslet B, Das D. A review of reliability prediction methods for electronic devices. Microelectronics Reliability 2002; 42(8): 1155-1162, https://doi.org/10.1016/S0026-....
 
5.
Gholami R, Watson R T Molla A, Hasan H, Bjørn-Andersen N. Information systems solutions for environmental sustainability: how can we do more?. Journal of the Association for Information Systems 2016; 17(8): 521-536, https://doi.org/10.17705/1jais....
 
6.
Hariharan A, Adam M T P, Lux E, Pfeiffer J, Dorner V, Müller MB, Weinhardt C. Brownie: A platform for conducting NeuroIS experiments. Journal of the Association for Information Systems 2017; 18(4): 264-296, https://doi.org/10.17705/1jais....
 
10.
Irias NG, Souza FA, de Paula H, Silva L A R. Challenges in using the physics-of-failure approach in practical applications. In 2017 IEEE Industry Applications Society Annual Meeting 2017: 1-8, https://doi.org/10.1109/IAS.20....
 
11.
Irias N G D N, de Paula H. Practical application of the physics-of-failure approach: Software and new resources for reliability prediction of power electronics systems. In 2017 Brazilian Power Electronics Conference (COBEP), IEEE 2017: 1-6, https://doi.org/10.1109/COBEP.....
 
12.
Kimseng K, Hoit M, Tiwari N, Pecht M. Physics-of-failure assessment of a cruise control module. Microelectronics Reliability 1999; 39(10):1423-1444, https://doi.org/10.1016/S0026-....
 
13.
Kostandyan E E, Sørensen J D. Physics of failure as a basis for solder elements reliability assessment in wind turbines. Reliability Engineering & System Safety 2012; 108, 100-107, https://doi.org/10.1016/j.ress....
 
14.
Kheir NA, Holmes WM. On Validating Simulation Models of Missile Systems. Simulation 1978; 30(4): 117-128, https://doi.org/10.1177/003754....
 
15.
Lall P, Pecht M. An integrated physics-of-failure approach to reliability assessment. Advances in Electronic Packaging 1993: 509-524.
 
16.
Ma K, Wang H, Blaabjerg F. New approaches to reliability assessment: Using physics-of-failure for prediction and design in power electronics systems. IEEE Power Electronics Magazine 2016; 3(4): 28-41, https://doi.org/10.1109/MPEL.2....
 
17.
Maass W, Parsons J, Purao S, Storey V C, Woo C. Data-driven meets theory-driven research in the era of big data: opportunities and challenges for information systems research. Journal of the Association for Information Systems 2018; 19(12): 1253-1273, https://doi.org/10.17705/1jais....
 
18.
McLeish J, Blattau N. CAE apps for physics of failure reliability & durability simulations. In 2014 Reliability and Maintainability Symposium, IEEE 2014: 1-6, https://doi.org/10.1109/RAMS.2....
 
19.
Oh H, Azarian MH, Pecht M, White CH, Sohaney RC, Rhem E. Physics-of-failure approach for fan PHM in electronics applications. In 2010 Prognostics and System Health Management Conference, IEEE 2010: 1-6, https://doi.org/10.1109/PHM.20....
 
20.
Oh H, Han B, McCluskey P, Han C, Youn BD. Physics-of-failure, condition monitoring, and prognostics of insulated gate bipolar transistor modules: A review. IEEE Transactions on Power Electronics 2014; 30(5): 2413-2426, https://doi.org/10.1109/TPEL.2....
 
21.
Pecht M. Electronic reliability engineering in the 21st century. In Advances in Electronic Materials and Packaging 2001 (Cat. No. 01EX506), IEEE 2001: 1-7.
 
22.
Pecht MG, Nash FR. Predicting the reliability of electronic equipment. Proceedings of the IEEE 1994; 82(7): 992-1004, https://doi.org/10.1109/5.2931....
 
23.
Pecht M, Dasgupta A, Barker D, Leonard CT. The reliability physics approach to failure prediction modelling. Quality and Reliability Engineering International 1990; 6(4): 267-273, https://doi.org/10.1002/qre.46....
 
24.
Pecht M, Dasgupta A. Physics-of-failure: an approach to reliable product development. Journal of the IES 1995; 38(5): 30-34, https://doi.org/10.1109/IRWS.1....
 
25.
Pecht M, Gu J. Physics-of-failure-based prognostics for electronic products. Transactions of the Institute of Measurement and Control 2009; 31(3-4): 309-322, https://doi.org/10.1177/014233....
 
26.
Sun, B., Zhao, Y., Huang, W., Xie, J. S., & Kang, R. Case study of prognostic and health management methodology for electronics. Systems Engineering and Electronics, 2007; 29(6): 1012-1016.
 
27.
Sun B, Zeng S, Kang R, Pecht MG. Benefits and challenges of system prognostics. IEEE Transactions on Reliability 2012; 61(2): 323-335, https://doi.org/10.1109/TR.201....
 
28.
Sun B, Jiang X, Yung KC, Fan J, Pecht MG. A review of prognostic techniques for high-power white LEDs. IEEE Transactions on Power Electronics 2016; 32(8): 6338-6362, https://doi.org/10.1109/TPEL.2....
 
29.
Singh SSK, AbdullAh S, Mohamed NAN. Reliability analysis and prediction for time to failure distribution of an automobile crankshaft. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015; 17(3): 408-415, https://doi.org/10.17531/ein.2....
 
30.
White M. Microelectronics reliability: physics-of-failure based modeling and lifetime evaluation. Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2008.
 
31.
Wang Y, Fang X, Zhang C, Chen X, Lu J. Lifetime prediction of self-lubricating spherical plain bearings based on physics-of-failure model and accelerated degradation test. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2016; 18(4): 528-538, https://doi.org/10.17531/ein.2....
 
32.
Wu XZ. Assessing the correlated performance functions of an engineering system via probabilistic analysis. Structural Safety 2015; 52: 10-19, https://doi.org/10.1016/j.stru....
 
33.
Zhang Y, Ma Y, Liu L, Ouyang L. A novel reliability model for multi-component systems subject to multiple dependent competing risks with degradation rate acceleration. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20(4): 579-589, https://doi.org/10.17531/ein.2....
 
 
CITATIONS (17):
1.
Fatigue Reliability Analysis Method of Reactor Structure Considering Cumulative Effect of Irradiation
Bo Sun, Junlin Pan, Zili Wang, Yi Ren, Dariusz Mazurkiewicz, Małgorzata Jasiulewicz-Kaczmarek, Katarzyna Antosz
Materials
 
2.
Laboratory measurements of vehicle exhaust emissions in conditions reproducing real traffic
Anna Borucka, Piotr Wiśniowski, Dariusz Mazurkiewicz, Andrzej Świderski
Measurement
 
3.
On the Use of Importance Measures in the Reliability of Inventory Systems, Considering the Cost
Liwei Chen, Meng Kou, Songwei Wang
Applied Sciences
 
4.
Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation
Jianyu Wang, Jianguo Miao, Jinglin Wang, Fangfang Yang, Kwok-Leung Tsui, Qiang Miao
Neurocomputing
 
5.
Adaptive ranking based ensemble learning of Gaussian process regression models for quality-related variable prediction in process industries
Yiqi Liu, Daoping Huang, Bin Liu, Qiang Feng, Baoping Cai
Applied Soft Computing
 
6.
A combined physics of failure and Bayesian network reliability analysis method for complex electronic systems
Bo Sun, Yu Li, Zili Wang, Dezhen Yang, Yi Ren, Qiang Feng
Process Safety and Environmental Protection
 
7.
Preventive maintenance of multiple components for hydraulic tension systems
Hongyan Dui, Xiaoqian Zheng, Qian Zhao, Yining Fang
Eksploatacja i Niezawodnosc - Maintenance and Reliability
 
8.
The debonding failure mechanism analysis and performance experiments of 3D printed wiring boards
Bo Sun, Fusheng Jiang, Dezhen Yang, Mengmeng Li, Yi Ren, Qiang Feng, Chen Qian
2020 21st International Conference on Electronic Packaging Technology (ICEPT)
 
9.
Low overhead performance monitoring for shared infrastructures
Pedro Popiolek, Karina Machado, Odorico Mendizabal
Expert Systems with Applications
 
10.
Learning soft sensors using time difference–based multi-kernel relevance vector machine with applications for quality-relevant monitoring in wastewater treatment
Jing Wu, Hongchao Cheng, Yiqi Liu, Daoping Huang, Longhua Yuan, Lingying Yao
Environmental Science and Pollution Research
 
11.
Reliability Analysis of Printed Circuit Boards Based on a Physics of Failure Simulation Method
Changliang Song, Zebo Tang, Zhongchao Sun, Cheng Qian, Bo Sun
2020 17th China International Forum on Solid State Lighting & 2020 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS)
 
12.
Reliability Simulation Technology Research and Interface Development Based on Multiphysics Coupling and Physics of Failure
Fan Wu, Zhonghui Fan, Jinyi Shao, Jing Huang
2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)
 
13.
Cyclic Harmonic Ratio Defined in Squared Envelope Spectrum and Log-Envelope Spectrum for Gearbox Fault Diagnosis
Chong Luo, Zhenling Mo, Qiang Miao
IEEE Transactions on Instrumentation and Measurement
 
14.
Mapping Reliability Predictors of Low-Voltage Metal Oxide Surge Arresters Using Contour Plots
Pitshou Bokoro, Wesley Doorsamy
IEEE Access
 
15.
A Fault Diagnosis Method Based on Improved Adaptive Filtering and Joint Distribution Adaptation
Zhang Xu, Huang Darong, Guoxi Sun, Wang Yongchao
IEEE Access
 
16.
Influence of induction heating of injection molds on reliability of electrical connectors
Krzysztof Mrozek, Paweł Muszyński, Przemysław Poszwa
Eksploatacja i Niezawodność – Maintenance and Reliability
 
17.
Product Development Process for complex hardware-based solutions: current trends
Pedro Romeral, Eduardo Zancul, Davi Nakano
Procedia CIRP
 
eISSN:2956-3860
ISSN:1507-2711
Journals System - logo
Scroll to top