scholarly journals Embedded e-maintenance for an FPGA-based reconfigurable system

Author(s):  
Dina Goldenberg

In recent years with the use of Internet Technologies e-Maintenance systems for remote connectivity, performance monitoring and diagnostics were introduced. As reconfigurable system based on FPGAs are becoming more and more popular due to their low time-to-market and reprogrammable feature, new possibilities for e-Maintenance are opened allowing remote repair of the system by sending new firmware via Internet for reconfiguration of FPGA. Up until recently programming of FPGA has been a complicated hardware design process. However, as FPGAs were evolving, their reconfiguration time was significantly reduced and partial reconfiguration became available, application programming into FPGA can be simplified as presented in [1]. This method is based on temporal partitioning of FPGA and periodically reloading it with segments of application for different tasks. This allows utilization of smaller and thus much cheaper FPGA and also simplifies the programming. With the help of e-Maintenance the whole system can be dynamically reconfigured. Remote programmer can perform partial reconfiguration, close the physical location in FPGA for reconfiguration and upgrade different segments. In this project a research of remote maintenance and reconfigurable systems is conducted and e-Maintenance system is developed for an FPGA-based platform.

2021 ◽  
Author(s):  
Dina Goldenberg

In recent years with the use of Internet Technologies e-Maintenance systems for remote connectivity, performance monitoring and diagnostics were introduced. As reconfigurable system based on FPGAs are becoming more and more popular due to their low time-to-market and reprogrammable feature, new possibilities for e-Maintenance are opened allowing remote repair of the system by sending new firmware via Internet for reconfiguration of FPGA. Up until recently programming of FPGA has been a complicated hardware design process. However, as FPGAs were evolving, their reconfiguration time was significantly reduced and partial reconfiguration became available, application programming into FPGA can be simplified as presented in [1]. This method is based on temporal partitioning of FPGA and periodically reloading it with segments of application for different tasks. This allows utilization of smaller and thus much cheaper FPGA and also simplifies the programming. With the help of e-Maintenance the whole system can be dynamically reconfigured. Remote programmer can perform partial reconfiguration, close the physical location in FPGA for reconfiguration and upgrade different segments. In this project a research of remote maintenance and reconfigurable systems is conducted and e-Maintenance system is developed for an FPGA-based platform.


2020 ◽  
Vol 39 (3) ◽  
pp. 67-76
Author(s):  
Wenlong Zhao ◽  
Shanshuang Shi ◽  
Yong Cheng ◽  
Jianjun Huang ◽  
Huibin Sun ◽  
...  

2013 ◽  
Vol 5 (2) ◽  
pp. 133-141 ◽  
Author(s):  
Ramzi Ayadi ◽  
Bouraoui Ouni ◽  
Abdellatif Mtibaa

2019 ◽  
Author(s):  
Nitesh Agrawal ◽  
Tom Chapman ◽  
Rahul Baid ◽  
Ritesh Kumar Singh ◽  
Sahil Shrivastava ◽  
...  

1985 ◽  
Vol 8 (1P2A) ◽  
pp. 314-317
Author(s):  
L. S. Masson ◽  
H. J. Welland

Author(s):  
Michael J. Roemer ◽  
Ben Atkinson

Integrated life, vibration and performance monitoring/diagnostics capable of detecting and classifying developing engine faults is critical to reducing engine operating and maintenance costs while optimizing the life of “hot section” engine components (Troudet and Merrill, 1990). Advanced fault pattern recognition and classification techniques utilizing complex finite-element and empirical models of structural and performance related engine areas can now be accessed in a real-time monitoring environment (Dietz et al., 1989). Integration and implementation of these proven technologies presents a great opportunity to significantly enhance current engine health diagnostic capabilities and safely extend engine component life (Ali and Crawford, 1988).


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