Novel method for failure prognostics of power MOSFET

被引:0
|
作者
Zhao, Min [1 ,4 ]
Zhou, Zhicheng [2 ]
Zhang, Donglai [3 ]
Li, Tiecai [1 ,4 ]
Wang, Zicai [1 ,4 ]
机构
[1] Harbin Inst Technol, Harbin, Peoples R China
[2] China Acad Space Technol, Beijing, Peoples R China
[3] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen, Peoples R China
[4] Shenzhen Acad Aerosp Technol, Shenzhen, Peoples R China
关键词
Power MOSFET; Aging; Degradation; Highly accelerated life test; Prognostics and health management; Diagnostics;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Switched mode power supplies have become ubiquitous in electronic modules and systems. From converting power types, power levels, or driving actuators, these power converters embody varying topologies but usually have high switching rates of up to 500 kHz, power devices such as MOSFETs, microelectronic components and a mix of passive components that store and release energy. They are complex modules that have an unfortunate history of observed high failure rates, yet they may be required to support critical systems. MOSFET plays an increasingly important role in energy conversion and application, it is also the weakest link in the SMPS systems, so that power MOSFET could be used for prognostics of the SMPS. In this paper, a novel method for prognosis of power MOSFET is introduced with the measurement of the timing delay between the Gate-Source and Drain-Source, the time delay will increase with the usage of power MOSFET, as the threshold voltage shifts, also the capacitor of the gate-source increase, which could be measured with the proposed method, the prognostics of MOSFET could be easily implemented.
引用
收藏
页码:202 / 205
页数:4
相关论文
共 50 条
  • [1] Prognostics of Power MOSFET
    Celaya, Jose R.
    Saxena, Abhinav
    Vashchenko, Vladislav
    Saha, Sankalita
    Goebel, Kai
    2011 IEEE 23RD INTERNATIONAL SYMPOSIUM ON POWER SEMICONDUCTOR DEVICES AND ICS (ISPSD), 2011, : 160 - 163
  • [2] Prognostics of Power MOSFET Due to Unclamped Inductive Switching
    Khera, Neeraj
    Tiwari, Sharad
    PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [3] Prognostics of Power MOSFET Using Artificial Neural Network Approach
    Neeraj Khera
    Shakeb A. Khan
    Journal of Electrical Engineering & Technology, 2020, 15 : 487 - 499
  • [4] Prognostics of Power MOSFET Using Artificial Neural Network Approach
    Khera, Neeraj
    Khan, Shakeb A.
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2020, 15 (01) : 487 - 499
  • [5] Prognostics Approach for Power MOSFET under Thermal-Stress Aging
    Celaya, Jose R.
    Saxena, Abhinav
    Kulkarni, Chetan S.
    Saha, Sankalita
    Goebel, Kai
    2012 PROCEEDINGS - ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS), 2012,
  • [6] Pulse power failure model of power MOSFET due to electrical overstress using tasca method
    Ismail, Nur Syakimah
    Ahmad, Ibrahim
    Husain, Hafizah
    Chuah, Shirley
    2006 IEEE INTERNATIONAL CONFERENCE ON SEMICONDUCTOR ELECTRONICS, PROCEEDINGS, 2006, : 1006 - +
  • [7] Data Driven Prognostics for Failure of Power Semiconductor Packages
    Ahsan, Mominul
    Stoyanov, Stoyan
    Bailey, Chris
    2018 41ST INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE), 2018,
  • [8] A novel concept and assessment method for trustworthiness of prognostics
    Sun, Bo
    Jiang, Xiaopeng
    Ye, Tianyuan
    Feng, Qiang
    ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (03) : 1 - 10
  • [9] Novel failure prognostics approach with dynamic thresholds for machine degradation
    Javed, Kamran
    Gouriveau, Rafael
    Zerhouni, Noureddine
    39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 4404 - 4409
  • [10] A Comparative Study on Power MOSFET Reliability and Failure Modes
    Bilir, Rahmet Aybuke
    Altintas, Nihan
    Bilir, Aydogan
    Mese, Erkan
    Tosunoglu, Zulal
    2019 18TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2019,