A digital twin feasibility study (Part II): Non-deterministic predictions of fatigue life using in-situ diagnostics and prognostics

2020 ◽  
Vol 229 ◽  
pp. 106903
Author(s):  
Patrick E. Leser ◽  
James E. Warner ◽  
William P. Leser ◽  
Geoffrey F. Bomarito ◽  
John A. Newman ◽  
...  
2020 ◽  
Vol 228 ◽  
pp. 106888
Author(s):  
Saikumar R. Yeratapally ◽  
Patrick E. Leser ◽  
Jacob D. Hochhalter ◽  
William P. Leser ◽  
Timothy J. Ruggles

Author(s):  
Ted Kolasa ◽  
Alfredo Mendoza

Abstract Comprehensive in situ (designed-in) diagnostic capabilities have been incorporated into digital microelectronic systems for years, yet similar capabilities are not commonly incorporated into the design of analog microelectronics. And as feature sizes shrink and back end interconnect metallization becomes more complex, the need for effective diagnostics for analog circuits becomes ever more critical. This paper presents concepts for incorporating in situ diagnostic capability into analog circuit designs. Aspects of analog diagnostic system architecture are discussed as well as nodal measurement scenarios for common signal types. As microelectronic feature sizes continue to shrink, diagnostic capabilities such as those presented here will become essential to the process of fault localization in analog circuits.


Author(s):  
V. A. Kurnaev ◽  
V. E. Nikolaeva ◽  
S. A. Krat ◽  
E. D. Vovchenko ◽  
A. V. Kaziev ◽  
...  

2021 ◽  
Vol 104 (8) ◽  
pp. 283-292
Author(s):  
David Alexander ◽  
Jake Pellicotte ◽  
Alejandro Mejia ◽  
Caitlin Benway ◽  
Calvin Maurice Stewart ◽  
...  

2021 ◽  
Author(s):  
José R. Serrano ◽  
Luis Miguel García-Cuevas ◽  
Vishnu Samala ◽  
Juan Antonio López-Carrillo ◽  
Holger Mai

Abstract During the last decade, increasingly advanced turbocharger models have been developed for sizing, engine matching and one-dimensional modeling. This work goes further and, instead of using these models for turbocharged engines design or analysis, it implements them in the data acquisition and control system of a turbocharger gas stand. This way, interesting new capabilities arise. The paper shows that there are important synergies between advanced turbocharger gas stand data acquisition and control systems and the modern turbocharger holistic models that have not been deeply exploited until now. They can be summarized as: on-line heat fluxes analysis, in-situ outlier testing points detection, testing time saving and using digital-twin techniques to monitor turbocharger health during testing.


2019 ◽  
Vol 146 ◽  
pp. 96-99 ◽  
Author(s):  
X. Jiang ◽  
G. Sergienko ◽  
B. Schweer ◽  
S. Möller ◽  
M. Freisinger ◽  
...  

2018 ◽  
Vol 49 (9) ◽  
pp. 4274-4289 ◽  
Author(s):  
K. Kageyama ◽  
F. Adziman ◽  
E. Alabort ◽  
T. Sui ◽  
A. M. Korsunsky ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document