Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction
The failure of different chips under working conditions is influenced by various stress states such as different voltages, temperatures, stress durations, and stress variations. Therefore, the failure time has a great degree of dispersion, and similar chips may exhibit different failure mechanisms d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/16/1/4 |
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| author | Wenke Ren Yanning Chen Xiaoming Li Xinjie Zhou Baichen Song Tianci Chang |
| author_facet | Wenke Ren Yanning Chen Xiaoming Li Xinjie Zhou Baichen Song Tianci Chang |
| author_sort | Wenke Ren |
| collection | DOAJ |
| description | The failure of different chips under working conditions is influenced by various stress states such as different voltages, temperatures, stress durations, and stress variations. Therefore, the failure time has a great degree of dispersion, and similar chips may exhibit different failure mechanisms due to variations in their working environments. This paper proposes three system-on-chip reliability failure prediction unit circuits: the time-dependent dielectric breakdown prediction circuit, the negative bias temperature instability prediction circuit, and the hot carrier injection prediction circuit. These circuits are embedded within the main chip, enabling real-time failure prediction and reliability mechanism diagnosis in the same working environment as the main chip. The three reliability failure prediction circuits are compact and energy efficient, allowing for their integration into a system on a chip as IP cores that provide early warning signals before system-on-chip failure. Compared to traditional reliability prediction methods, this approach offers the advantages of accurately identifying failure mechanisms, predicting failure times, and enabling real-time online monitoring. |
| format | Article |
| id | doaj-art-dbf306c756914a8d97fe9ec3030e918a |
| institution | DOAJ |
| issn | 2072-666X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj-art-dbf306c756914a8d97fe9ec3030e918a2025-08-20T02:54:23ZengMDPI AGMicromachines2072-666X2024-12-01161410.3390/mi16010004Real-Time Monitoring Method and Circuit Based on Built-In Reliability PredictionWenke Ren0Yanning Chen1Xiaoming Li2Xinjie Zhou3Baichen Song4Tianci Chang5School of Microelectronics, Xidian University, Xi’an 710071, ChinaBeijing Smartchip Microelectronics Technology Company Limited, Beijing 100089, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaSchool of Microelectronics, Xidian University, Xi’an 710071, ChinaThe failure of different chips under working conditions is influenced by various stress states such as different voltages, temperatures, stress durations, and stress variations. Therefore, the failure time has a great degree of dispersion, and similar chips may exhibit different failure mechanisms due to variations in their working environments. This paper proposes three system-on-chip reliability failure prediction unit circuits: the time-dependent dielectric breakdown prediction circuit, the negative bias temperature instability prediction circuit, and the hot carrier injection prediction circuit. These circuits are embedded within the main chip, enabling real-time failure prediction and reliability mechanism diagnosis in the same working environment as the main chip. The three reliability failure prediction circuits are compact and energy efficient, allowing for their integration into a system on a chip as IP cores that provide early warning signals before system-on-chip failure. Compared to traditional reliability prediction methods, this approach offers the advantages of accurately identifying failure mechanisms, predicting failure times, and enabling real-time online monitoring.https://www.mdpi.com/2072-666X/16/1/4real-time monitoringreliability predictionon-chip monitorparameter degradation |
| spellingShingle | Wenke Ren Yanning Chen Xiaoming Li Xinjie Zhou Baichen Song Tianci Chang Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction Micromachines real-time monitoring reliability prediction on-chip monitor parameter degradation |
| title | Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction |
| title_full | Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction |
| title_fullStr | Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction |
| title_full_unstemmed | Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction |
| title_short | Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction |
| title_sort | real time monitoring method and circuit based on built in reliability prediction |
| topic | real-time monitoring reliability prediction on-chip monitor parameter degradation |
| url | https://www.mdpi.com/2072-666X/16/1/4 |
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