Reliability Evaluation of Inverter Based on Accelerated Degradation Test

  • Xinghui Qiu
  • Jianwei Yang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)


In order to evaluate the reliability of the inverter, this paper adopted sequence and stress accelerated degradation test of a certain type of inverter. Take the voltage as the accelerated stress, setting 0.8 as the linear growth proportion coefficient of stress levels, through the detection of the inverter IGBT collector emitter voltage state and diode voltage to judge the wear condition of the inverter. The accelerated model is obtained through analyzing the test data, and the model parameters are estimated by the least square method. At the same time, the reliability of the inverter is evaluated, and the reliability curve is obtained. Finally, the reliability at the normal stress level is solved through accelerate model. In order to evaluate the effectiveness of Bayes reliability analysis of inverter, the Monte Carlo simulation about accelerated test is done, simulation results and evaluation results are similar. It shows that the accelerated degradation testing data is valid. The evaluation method can be used to evaluate the reliability of other power electronic devices in the rail transit vehicle .


Accelerated degradation test Inverter Inverse power law model Bayes reliability 



This article is sponsored by National Natural Science Foundation of China under grant no. 51175028, Great scholars training project under CIT&TCD20150312, and Beijing outstanding talent training project under 2012D005017000006.


  1. 1.
    Minwu C (2011) The reliability assessment of traction substation of high speed railway by the GO methodology. Power Syst Protect Control 39(18):56–61 (in Chinese)Google Scholar
  2. 2.
    Jiankang Z, Xiaohua L, Xia Y (2015) Discussion on protection configuration and setting calculation for 750 kV transformer. Power Syst Protect Control 43(9):89–94 (in Chinese)Google Scholar
  3. 3.
    Kaiyi Z, Yifa S, Yongsheng L (2016) Research on transient characteristics of passing neutral section in CRH2 trains traction motor. Res Develop 4:38–41Google Scholar
  4. 4.
    Chenxi D, Zhigang L, Song G (2016) Fault diagnosis for traction transformer of high speed railway on the integration of model-based diagnosis and fuzzy petri nets. Power Syst Protect Control 44(11):26–32 (in Chinese)Google Scholar
  5. 5.
    Gaofu D, Dan Z, Pengfeng L, Chunchun Z (2016) Study of control strategy for active power filter based on modular multilevel converter. Power Syst Protect Control 43(8):74–80 (in Chinese)Google Scholar
  6. 6.
    Yashun W, Chunhua Z, Xun C, Yongqiang M (2009) Simulation-based optimal design for accelerated degradation tests with mixed-effects model. J Mech Eng 45(12):108–114 (in Chinese)CrossRefGoogle Scholar
  7. 7.
    Kun X, Xiaohui G, Chen P (2014) Reliability evaluation of the O-type rubber sealing ring for fuse based on constant stress accelerated degradation testing. J Mech Eng 50(16):62–69 (in Chinese)CrossRefGoogle Scholar
  8. 8.
    Yongqiang M (2008) Investigation in lifetime assessment of electron multiplier based on double-stress accelerated degradation test. National University of Defense Technology (in Chinese)Google Scholar
  9. 9.
    Xiang J, Xiaolin W, Bo G (2016) Reliability assessment for very few failure data and zero-failure data. J Mech Eng 52(2):182–188 (in Chinese)CrossRefGoogle Scholar
  10. 10.
    Dexin Z, Hongzhao L (2013) Reliability evaluation of high-speed train bearing with minimum sample. J Central South Univ 44(3):963–969 (in Chinese)Google Scholar
  11. 11.
    Trabelsi M, Boussak M, Benbouzid M (2016) Multiple criteria for high performance real-time diagnostic of single and multiple open-switch faults in ac-motor drives: application to IGBT-based voltage source inverter. Electr Power Syst Res 144:136–149CrossRefGoogle Scholar
  12. 12.
    Xiaoping D, Yangang W, Yibo W, Haihui L, Guoyou L, Daohui L, Steve J (2016) Reliability design of direct liquid cooled power semiconductor module for hybrid and electric vehicles. Microelectron Reliab (in Chinese)Google Scholar
  13. 13.
    Czerny B, Khatibi G (2016) Interface reliability and lifetime prediction of heavy aluminum wire bonds. Microelectron Reliab 58:65–72CrossRefGoogle Scholar
  14. 14.
    Choi UM, Blaabjerg F, Jorgensen S, Lannuzzo F, Wang H, Uhrenfeldt C, Munk-Nielsen S (2016) Power cycling test and failure analysis of molded intelligent power IGBT module under different temperature swing duration. Microelectron ReliabGoogle Scholar
  15. 15.
    Hamada MS, Wilson AG, Shane Reese C, Martz HF (2008) Bayesian Reliability. Springer, pp 51–60Google Scholar
  16. 16.
    China Electronics Standardization Institute (1987) Reliability Test Table. National Defend Industry Press, Beijing (in Chinese)Google Scholar

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© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Mechanical Electronic and Vehicle EngineeringBeijing University of Civil Engineering and ArchitectureXicheng District, BeijingPeople’s Republic of China

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