A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling
Few researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem,...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/530942 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849403843681452032 |
|---|---|
| author | Jingyu Zhou Shulin Tian Chenglin Yang |
| author_facet | Jingyu Zhou Shulin Tian Chenglin Yang |
| author_sort | Jingyu Zhou |
| collection | DOAJ |
| description | Few researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem, this paper proposes a novel prediction method about single components of analog circuits based on complex field modeling. Aiming at the feature that faults of single components hold the largest number in analog circuits, the method starts with circuit structure, analyzes transfer function of circuits, and implements complex field modeling. Then, by an established parameter scanning model related to complex field, it analyzes the relationship between parameter variation and degeneration of single components in the model in order to obtain a more reasonable FI feature set via calculation. According to the obtained FI feature set, it establishes a novel model about degeneration trend of analog circuits’ single components. At last, it uses particle filter (PF) to update parameters for the model and predicts remaining useful performance (RUP) of analog circuits’ single components. Since calculation about the FI feature set is more reasonable, accuracy of prediction is improved to some extent. Finally, the foregoing conclusions are verified by experiments. |
| format | Article |
| id | doaj-art-97442423752a445c8fd6455fef543237 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-97442423752a445c8fd6455fef5432372025-08-20T03:37:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/530942530942A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field ModelingJingyu Zhou0Shulin Tian1Chenglin Yang2School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaFew researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem, this paper proposes a novel prediction method about single components of analog circuits based on complex field modeling. Aiming at the feature that faults of single components hold the largest number in analog circuits, the method starts with circuit structure, analyzes transfer function of circuits, and implements complex field modeling. Then, by an established parameter scanning model related to complex field, it analyzes the relationship between parameter variation and degeneration of single components in the model in order to obtain a more reasonable FI feature set via calculation. According to the obtained FI feature set, it establishes a novel model about degeneration trend of analog circuits’ single components. At last, it uses particle filter (PF) to update parameters for the model and predicts remaining useful performance (RUP) of analog circuits’ single components. Since calculation about the FI feature set is more reasonable, accuracy of prediction is improved to some extent. Finally, the foregoing conclusions are verified by experiments.http://dx.doi.org/10.1155/2014/530942 |
| spellingShingle | Jingyu Zhou Shulin Tian Chenglin Yang A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling The Scientific World Journal |
| title | A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling |
| title_full | A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling |
| title_fullStr | A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling |
| title_full_unstemmed | A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling |
| title_short | A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling |
| title_sort | novel prediction method about single components of analog circuits based on complex field modeling |
| url | http://dx.doi.org/10.1155/2014/530942 |
| work_keys_str_mv | AT jingyuzhou anovelpredictionmethodaboutsinglecomponentsofanalogcircuitsbasedoncomplexfieldmodeling AT shulintian anovelpredictionmethodaboutsinglecomponentsofanalogcircuitsbasedoncomplexfieldmodeling AT chenglinyang anovelpredictionmethodaboutsinglecomponentsofanalogcircuitsbasedoncomplexfieldmodeling AT jingyuzhou novelpredictionmethodaboutsinglecomponentsofanalogcircuitsbasedoncomplexfieldmodeling AT shulintian novelpredictionmethodaboutsinglecomponentsofanalogcircuitsbasedoncomplexfieldmodeling AT chenglinyang novelpredictionmethodaboutsinglecomponentsofanalogcircuitsbasedoncomplexfieldmodeling |