New! Sign up for our free email newsletter.
Science News
from research organizations

Detecting early-stage failure in electric power conversion devices

Date:
October 19, 2020
Source:
Osaka University
Summary:
Researchers used acoustic emission during power cycling tests to monitor in real time the complete failure process--from the earliest stages -- in silicon carbide Schottsky diodes. This development will help solve wear-out failure problems that are limiting advanced applications in computers, solar cells, and many other devices.
Share:
FULL STORY

Power electronics regulate and modify electric power. They are in computers, power steering systems, solar cells, and many other technologies. Researchers are seeking to enhance power electronics by using silicon carbide semiconductors. However, wear-out failures such as cracks remain problematic. To help researchers improve future device designs, early damage detection in power electronics before complete failure is required.

In a study recently published in IEEE Transactions on Power Electronics, researchers from Osaka University monitored in real time the propagation of cracks in a silicon carbide Schottsky diode during power cycling tests. The researchers used an analysis technique, known as acoustic emission, which has not been previously reported for this purpose.

During the power cycling test, the researchers mimicked repeatedly turning the device on and off, to monitor the resulting damage to the diode over time. Increasing acoustic emission corresponds to progressive damage to aluminum ribbons affixed to the silicon carbide Schottsky diode. The researchers correlated the monitored acoustic emission signals to specific stages of device damage that eventually led to failure.

"A transducer converts acoustic emission signals during power cycling tests to an electrical output that can be measured," explains lead author ChanYang Choe. "We observed burst-type waveforms, which are consistent with fatigue cracking in the device."

The traditional method of checking whether a power device is damaged is to monitor anomalous increases in the forward voltage during power cycling tests. Using the traditional method, the researchers found that there was an abrupt increase in the forward voltage, but only when the device was near complete failure. In contrast, acoustic emission counts were much more sensitive. Instead of an all-or-none response, there were clear trends in the acoustic emission counts during power cycling tests.

"Unlike forward voltage plots, acoustic emission plots indicate all three stages of crack development," says senior author Chuantong Chen. "We detected crack initiation, crack propagation, and device failure, and confirmed our interpretations by microscopic imaging."

To date, there has been no sensitive early-warning method for detecting fatigue cracks that lead to complete failure in silicon carbide Schottsky diodes. Acoustic emission monitoring, as reported here, is such a method. In the future, this development will help researchers determine why silicon carbide devices fail, and improve future designs in common and advanced technologies.


Story Source:

Materials provided by Osaka University. Note: Content may be edited for style and length.


Journal Reference:

  1. ChanYang Choe, Chuantong Chen, Shijo Nagao, Katsuaki Suganuma. Real-time acoustic emission monitoring of wear-out failure in SiC power electronic devices during power cycling tests. IEEE Transactions on Power Electronics, 2020; 1 DOI: 10.1109/TPEL.2020.3024986

Cite This Page:

Osaka University. "Detecting early-stage failure in electric power conversion devices." ScienceDaily. ScienceDaily, 19 October 2020. <www.sciencedaily.com/releases/2020/10/201019103455.htm>.
Osaka University. (2020, October 19). Detecting early-stage failure in electric power conversion devices. ScienceDaily. Retrieved November 20, 2024 from www.sciencedaily.com/releases/2020/10/201019103455.htm
Osaka University. "Detecting early-stage failure in electric power conversion devices." ScienceDaily. www.sciencedaily.com/releases/2020/10/201019103455.htm (accessed November 20, 2024).

Explore More

from ScienceDaily

RELATED STORIES