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http://dx.doi.org/10.13067/JKIECS.2020.15.2.245

Temperature Data Visualization for Condition Monitoring based on Wireless Sensor Network  

Seo, Jung-Hee (Dept. of Computer Engineering, Tongmyong University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.15, no.2, 2020 , pp. 245-252 More about this Journal
Abstract
Unexpected equipment defects can cause a huge economic losses in the society at large. Although condition monitoring can provide solutions, the signal processing algorithms must be developed to predict mechanical failures using data acquired from various sensors attached to the equipment. The signal processing algorithms used in a condition monitoring requires high computing efficiency and resolution. To improve condition monitoring on a wireless sensor network(WSN), data visualization can maximize the expressions of the data characteristics. Thus, this paper proposes the extraction of visual feature from temperature data over time using condition monitoring based on a WSN to identify environmental conditions of equipment in a large-scale infrastructure. Our results show that time-frequency analysis can visually track temperature changes over time and extract the characteristics of temperature data changes.
Keywords
Condition Monitoring; Wireless Sensor Network; Data Visualization; Time-Frequency Analysis;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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