Statistical Reliability Analysis and Lifetime Prediction for Magnetoelectric Sensors

Magnetoelectric (ME) sensors have attracted considerable attention and are utilized in diverse fields due to their high sensitivity, low cost, and ease of miniaturization. However, the reliability and the service lifetime of the mechanically resonant ME sensors are unclear, which are critical for their practical implementation. In this study, a lifetime prediction for ME sensors composed of a sandwich structure with Metglas and quartz single crystals is conducted. The failure process of the sensors is accelerated by applying high magnetic fields and high temperature environments under resonant conditions. Combining the inverse power-law model and Arrhenius model with the Weibull distribution, the service lifetime of ME sensors under normal operating conditions could be over 40000 hours. The underlying failure mechanism is further analyzed, providing significant guidance for the lifetime assessment and the applications of ME sensors.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3581629
Citations
1
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistical Reliability Analysis and Lifetime Prediction for Magnetoelectric Sensors

Xuan Sun, Jingen Wu, Zhongqiang Hu, S. P. Wang et al.
1 citations
IEEE Transactions on Instrumentation and Measurement
Non-Destructive Testing Techniques
0.71
article

Statistical Reliability Analysis and Lifetime Prediction for Magnetoelectric Sensors

Xuan Sun, Jingen Wu, Zhongqiang Hu, S. P. Wang, Xianfeng Liang, Dengfeng Ju, Ming Liu, Yang Lu, Xin He, Xu Liu, Yiwei Xu, Liwen Liang
article en
1 citations

Abstract

Magnetoelectric (ME) sensors have attracted considerable attention and are utilized in diverse fields due to their high sensitivity, low cost, and ease of miniaturization. However, the reliability and the service lifetime of the mechanically resonant ME sensors are unclear, which are critical for their practical implementation. In this study, a lifetime prediction for ME sensors composed of a sandwich structure with Metglas and quartz single crystals is conducted. The failure process of the sensors is accelerated by applying high magnetic fields and high temperature environments under resonant conditions. Combining the inverse power-law model and Arrhenius model with the Weibull distribution, the service lifetime of ME sensors under normal operating conditions could be over 40000 hours. The underlying failure mechanism is further analyzed, providing significant guidance for the lifetime assessment and the applications of ME sensors.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Electric Power Research Institute (US), North China Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 31%
Non-Destructive Testing Techniques
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Statistical Reliability Analysis and Lifetime Prediction for Magnetoelectric Sensors — Xuan Sun, Jingen Wu, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS