RTOS based Online Condition Monitoring and Diagnosis of Electrical Equipment
S. Tamil Elakkiya1, K. Karthika2, K. Jasmine3
1S. Tamil Elakkiya, Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2K. Karthika, Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
3K. Jasmine, Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 11 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 09 January 2019 | PP: 128-131 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1886017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In an electrical system if the maintenance process carried over in scheduled manner there is a chance that would leads to unexpected failure before our next scheduled maintenance break. RTOS based Online condition monitoring techniques for electrical equipment mainly includes system status, system performance, system recovery and automatic diagnosis. If the electrical systems are more complex, its better to split into number of tasks. These tasks would have different priorities and timing deadline. By using priority scheduling algorithm the various tasks were managed. With the help of C language, the program has been written to assign the task priorities, timing deadline to monitor the tasks, and also recovery actions should be carried over if any fault occurs. This program has been flashed at ARM7 processor and based upon that the entire system works. This emulation supports online condition monitoring to monitor and diagnosis of electrical equipment in real time.
Keywords: RTOS, ARM7 Processor, Matlab-Simulink, LPC2148 Kit, Priority Scheduling Algorithm.
Scope of the Article: Design and Diagnosis