Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power MOSFET health state assessment and residual life prediction method

A health status and life prediction technology, applied in the direction of single semiconductor device testing, etc., to achieve the effect of accurate health status and remaining life

Inactive Publication Date: 2014-03-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF3 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there are many domestic and foreign studies on the failure mechanism and failure mode analysis of power MOSFETs, but there are few studies on health status assessment and remaining life prediction. The method used is to select a single on-resistance or threshold voltage as the failure mode. Health assessment or failure prediction based on characteristic parameters, that is, only considering the degradation law in the case of a certain failure mode
However, in the actual working process, the power MOSFET is subjected to simultaneous stresses such as temperature and voltage, and its failure form may be characterized by multiple failure modes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power MOSFET health state assessment and residual life prediction method
  • Power MOSFET health state assessment and residual life prediction method
  • Power MOSFET health state assessment and residual life prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0018] Such as figure 1 As shown, the threshold voltage, drain-source voltage and drain-source current of a healthy power MOSFET under normal working conditions are collected, and the Mahalanobis distance model of Box-Cox transformation is established to determine the benchmark threshold of power MOSFET health status evaluation. Different remaining life prediction models are established according to the health status of the power MOSFET under test. A fractional SVM life prediction model is established for power MOSFETs in abnormal states, and a remaining life prediction model based on acceleration factors is established for power MOSFETs in normal states.

[0019] A power MOSFET health state assessment and remaining life prediction method, the specific implementation is as follows:

[0020] Step 1: Obtain the power MOSFET health status asse...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a power MOSFET health state assessment and residual life prediction method. The concrete steps are that: drain and source electrode voltage, drain and source electrode current and threshold voltage of a health power MOSFET are firstly acquired, mahalanobis distance of the health power MOSFET is acquired and Box-Cox conversion is performed so that the mahalanobis distance in normal distribution is acquired, then a health state assessment reference threshold of the power MOSFET is confirmed, and the mahalanobis distance in normal distribution is selected as a health state characteristic parameter for assessing the measured power MOSFET; then the health state assessment is performed on the drain and source electrode voltage, the drain and source electrode current and the threshold voltage monitoring the measured power MOSFET; and finally different residual life prediction models are established according to different health states of the measured MOSFET. Multi-characteristic parameters of the power MOSFET are converted into a single-characteristic parameter to perform the health state assessment. Meanwhile, temperature and voltage stress of working conditions are considered, and the residual life prediction models under the normal states and the abnormal states are established so that the residual life of the measured power MOSFET can be accurately predicted.

Description

technical field [0001] The invention relates to a power MOSFET health state evaluation and remaining life prediction method, which belongs to the fields of reliability evaluation, electronic failure prediction and health management. Background technique [0002] With the continuous progress and development of semiconductor technology, power MOSFET, as the main choice of switching power devices in power electronic circuits such as DC-DC power modules and photovoltaic inverters, is an indispensable device in electronic and electrical airborne autonomous functional subsystems , Widely used in aerospace, rail transit, new energy power generation, navigation and radar systems and other fields. Usually, the degradation or failure of the circuit is often caused by one or some key components. According to research statistics, the failure rate caused by power MOSFETs in power electronic circuits is as high as 31%. For mission-critical systems, their performance degradation and failu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01R31/26
Inventor 孙权王友仁姜媛媛吴祎
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products