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A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test

With the wide application of flow sensors, their reliability under extreme conditions has become a concern in recent years. The reliability of a Micro Electro Mechanical Systems (MEMS) flow sensor under temperature [Formula: see text] is researched in this paper. This flow sensor consists of two par...

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Detalles Bibliográficos
Autores principales: Kang, Qiaoqiao, Lin, Yuzhe, Tao, Jifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650100/
https://www.ncbi.nlm.nih.gov/pubmed/37960433
http://dx.doi.org/10.3390/s23218733
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author Kang, Qiaoqiao
Lin, Yuzhe
Tao, Jifang
author_facet Kang, Qiaoqiao
Lin, Yuzhe
Tao, Jifang
author_sort Kang, Qiaoqiao
collection PubMed
description With the wide application of flow sensors, their reliability under extreme conditions has become a concern in recent years. The reliability of a Micro Electro Mechanical Systems (MEMS) flow sensor under temperature [Formula: see text] is researched in this paper. This flow sensor consists of two parts, a sensor chip and a signal-processing system (SPS). Firstly, the step-stress accelerated degradation test (SSADT) is implemented. The sensor chip and the flow sensor system are tested. The results show that the biggest drift is 3.15% for sensor chips under 150 °C testing conditions, while 32.91% is recorded for the flowmeters. So, the attenuation of the SPS is significant to the degeneration of this flowmeter. The minimum drift of the SPS accounts for 82.01% of this flowmeter. Secondly, using the Coffin–Manson model, the relationship between the cycle index and [Formula: see text] is established. The lifetime with a different [Formula: see text] is estimated using the Arrhenius model. In addition, Weibull distribution (WD) is applied to evaluate the lifetime distribution. Finally, the reliability function of the WD is demonstrated, and the survival rate within one year is 87.69% under 85 °C conditions. With the application of accelerated degradation testing (ADT), the acquired results are innovative and original. This research illustrates the reliability research, which provides a relational database for the application of this flow sensor.
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spelling pubmed-106501002023-10-26 A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test Kang, Qiaoqiao Lin, Yuzhe Tao, Jifang Sensors (Basel) Communication With the wide application of flow sensors, their reliability under extreme conditions has become a concern in recent years. The reliability of a Micro Electro Mechanical Systems (MEMS) flow sensor under temperature [Formula: see text] is researched in this paper. This flow sensor consists of two parts, a sensor chip and a signal-processing system (SPS). Firstly, the step-stress accelerated degradation test (SSADT) is implemented. The sensor chip and the flow sensor system are tested. The results show that the biggest drift is 3.15% for sensor chips under 150 °C testing conditions, while 32.91% is recorded for the flowmeters. So, the attenuation of the SPS is significant to the degeneration of this flowmeter. The minimum drift of the SPS accounts for 82.01% of this flowmeter. Secondly, using the Coffin–Manson model, the relationship between the cycle index and [Formula: see text] is established. The lifetime with a different [Formula: see text] is estimated using the Arrhenius model. In addition, Weibull distribution (WD) is applied to evaluate the lifetime distribution. Finally, the reliability function of the WD is demonstrated, and the survival rate within one year is 87.69% under 85 °C conditions. With the application of accelerated degradation testing (ADT), the acquired results are innovative and original. This research illustrates the reliability research, which provides a relational database for the application of this flow sensor. MDPI 2023-10-26 /pmc/articles/PMC10650100/ /pubmed/37960433 http://dx.doi.org/10.3390/s23218733 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Kang, Qiaoqiao
Lin, Yuzhe
Tao, Jifang
A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test
title A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test
title_full A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test
title_fullStr A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test
title_full_unstemmed A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test
title_short A Reliability Analysis of a MEMS Flow Sensor with an Accelerated Degradation Test
title_sort reliability analysis of a mems flow sensor with an accelerated degradation test
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650100/
https://www.ncbi.nlm.nih.gov/pubmed/37960433
http://dx.doi.org/10.3390/s23218733
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