Version 1
: Received: 30 June 2021 / Approved: 1 July 2021 / Online: 1 July 2021 (12:33:59 CEST)
How to cite:
Rokicki, E.; Kotkowski, J.; Przysowa, R.; Filipkowski, P. Network of Smart Tip-Timing Sensors in Distributed Blade Health Monitoring System. Preprints2021, 2021070026. https://doi.org/10.20944/preprints202107.0026.v1
Rokicki, E.; Kotkowski, J.; Przysowa, R.; Filipkowski, P. Network of Smart Tip-Timing Sensors in Distributed Blade Health Monitoring System. Preprints 2021, 2021070026. https://doi.org/10.20944/preprints202107.0026.v1
Rokicki, E.; Kotkowski, J.; Przysowa, R.; Filipkowski, P. Network of Smart Tip-Timing Sensors in Distributed Blade Health Monitoring System. Preprints2021, 2021070026. https://doi.org/10.20944/preprints202107.0026.v1
APA Style
Rokicki, E., Kotkowski, J., Przysowa, R., & Filipkowski, P. (2021). Network of Smart Tip-Timing Sensors in Distributed Blade Health Monitoring System. Preprints. https://doi.org/10.20944/preprints202107.0026.v1
Chicago/Turabian Style
Rokicki, E., Radoslaw Przysowa and Piotr Filipkowski. 2021 "Network of Smart Tip-Timing Sensors in Distributed Blade Health Monitoring System" Preprints. https://doi.org/10.20944/preprints202107.0026.v1
Abstract
Blade Health Monitoring (BHM) is often necessary in power plants and in aviation to prevent excessive blade vibration and cracks. This article proposes a network of blade tip timing sensors operated in a distributed BHM system. A number of cooperating agents is implemented in smart conditioning units which can autonomously operate in an adverse environment and communicate with other nodes via a serial interface. The project uses special versions of reduced instruction set chips that are able to operate near the hot section of the engine. Due to the limited number of types of microprocessors available in the extended temperature range grading, it was necessary to fully utilize the limited hardware resources and implement preemptive multitasking. For this purpose, a custom operating system and communication protocol were designed. The protocol hosts the middle layer which hides the implementation of the distributed system. The presented architecture ensures the sufficient computational capacity in individual nodes of the network operated in adverse conditions. It is scalable and resistant to transmission errors.
Keywords
smart sensor; multi-agent system; modular architecture; Blade Health Monitoring; system on chip
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.