Anomaly detection in analog circuits using Support Vector Data Description
| Autor: | Yanmei Lv, Yueming Jiang, Yang Yu, Yongxue Ma, Xiyuan Peng |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Analogue electronics
Computer science Reliability (computer networking) 020208 electrical & electronic engineering 05 social sciences 050801 communication & media studies 02 engineering and technology Fault (power engineering) Support vector machine 0508 media and communications Computer engineering 0202 electrical engineering electronic engineering information engineering Electronic engineering Anomaly detection Electronics State (computer science) Anomaly (physics) |
| Zdroj: | 2016 IEEE AUTOTESTCON. |
| DOI: | 10.1109/autest.2016.7589573 |
| Popis: | With the rapid development of electronic technology, electronic systems are widely used in various fields, and the reliability requirement for electronic systems is also increasing. Many test and diagnosis methods have been proposed. However, few methods can be used to recognize the intermediate anomaly state between normal and fault state. To solve the above problem, this paper presents an anomaly detection method based on Support Vector Data Description (SVDD) for analog circuits. Simulation and experiments have verified the effectiveness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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