Title :
Transformer end-of-life estimation using condition-Based Sampling Period Method
Author :
Karel Octavianus Bachri;Bambang Anggoro;Adang Suwandi Ahmad
Author_Institution :
Bandung Institute of Technology, Indonesia
Abstract :
This paper discusses transformer end-of-life estimation using condition-Based Sampling Period method. Condition of the transformer is randomly generated. This condition will be used to determine the sampling period of the measurement data collected from sensors. The observation interval will be decreased if the condition of the transformer deteriorates fast. The tangent of the condition will be used to estimate transformer end-of-life. Simulation shows transformer end-of life can be estimated using this method and the next observation can be determined according to the gradient of condition.
Keywords :
"Artificial intelligence","Signal processing","Communication systems"
Conference_Titel :
Intelligent Signal Processing and Communication Systems (ISPACS), 2015 International Symposium on
DOI :
10.1109/ISPACS.2015.7432804