Real-Time Acoustic Emission Monitoring of Wear-Out Failure in SiC Power Electronic Devices During Power Cycling Tests

Abstract

In the study, acoustic emission (AE) was applied to monitor the wear-out failure in discrete SiC Schottky barrier diodes (SBD) devices with a Ag sinter die attach to successfully monitor the real-time progress of failure of Al ribbons for the first time. After eliminating background AE noise including the power on-off switch and the ambient noise via a noise filtering process, AE signals were successfully collected for the SiC devices during a power cycling test. Furthermore, AE monitoring was compared to the traditional failure monitoring method using forward voltage. Physics-of-Failure (POF) analysis was performed, and fatigue cracks and lift-off in Al ribbons were confirmed as the dominant failure modes for the discrete devices. Specifically, AE counts that correspond to one of the time-domain parameters of AE signals increased with power cycling, thereby corresponding to the observed fatigue cracks in Al ribbons leading to lift-off failure. Additionally, the AE count rate was highly correlated with the crack growth rate. Based on the relationship between an AE count rate and fatigue crack growth rate, the results indicate that AE monitoring can be used to understand the fatigue propagation in Al ribbons (i.e., failure mechanism) and also as an early warning before catastrophic lift-off fracture for power electronic devices.

Monitoring system of electric power construction equipment based on Internet of Things

“…The above-mentioned equipment and personnel realize the upstream and downstream business flow. Uplink: the terminal sensing equipment in the ditch pipe sends the sensing data to the manhole cover monitoring device through the local Internet of Things [9]; The manhole cover monitoring device sends the collected ditch pipe environment monitoring data, the monitoring manhole cover state and the surrounding environment and other state information to the electric power private network [10]. Downlink: the main station can configure and issue equipment operation configuration data, such as equipment operation parameters, switching of working modes, clock synchronization mode, etc.…”

Numerical simulation of reliability of single-sided/double-sided package interconnect structure under temperature cyclic load

“…The mechanical behavior of the connecting layer during temperature cycling showed viscoplasticity. In this work, Anand constitutive equations were used to define Nano-Ag at the connecting layer (Choe et al , 2021; Hong et al , 2021) as shown in Table 2 and the material parameters of the other parts are shown in Table 3.…”

Mapping Acoustic Frictional Properties of Self-Lubricating Epoxy-Coated Bearing Steel with Acoustic Emissions during Friction Test

“…Many studies have previously used acoustic signals to monitor the wear of grinding wheels [23][24][25][26], ball-on-flat sliding contact [27], stick-slip [28], bearings [29], gearboxes [30], mill-grinding tools [31], and tools [32]. AE data extraction methods include fast Fourier transforms (FFT) [24], short-time Fourier transforms (STFT) [25], wavelet transform (WT) [26], amplitude [28], AE count [33], spectral kurtosis [29], and root mean square (RMS) [34], which are used to correlate tribological parameters with acoustic signals. RMS is the most often used AE parameter to correlate wear and friction with the acoustic signal [35,36].…”