DocumentCode :
3161609
Title :
Novel method for failure prognostics of power MOSFET
Author :
Min Zhao ; Zhicheng Zhou ; Donglai Zhang ; Tiecai Li ; Zicai Wang
Author_Institution :
Harbin Instn. of Technol., Harbin, China
fYear :
2015
fDate :
12-14 June 2015
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
circuit reliability; power MOSFET; power convertors; switched mode power supplies; timing circuits; SMPS systems; drain-source; driving actuator conversion; electronic modules; electronic systems; energy conversion; failure prognostics; gate-source; microelectronic components; power MOSFET; power converters; power devices; power level conversion; power type conversion; switched mode power supplies; threshold voltage; timing delay measurement; Aging; Delay effects; Integrated circuit modeling; Logic gates; MOSFET; Prognostics and health management; Switched-mode power supply; Aging; Degradation; Diagnostics; Highly accelerated life test; Power MOSFET; Prognostics and health management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2015 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CIVEMSA.2015.7158628
Filename :
7158628
Link To Document :
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