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http://dx.doi.org/10.3795/KSME-A.2015.39.8.801

Evaluation of Datum Unit for Diagnostics of Journal-Bearing Systems  

Jeon, Byungchul (Dept. of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.)
Jung, Joonha (Dept. of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.)
Youn, Byeng D. (Dept. of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.)
Kim, Yeon-Whan (Power Generation Laboratory, KEPCO Research Institute)
Bae, Yong-Chae (Power Generation Laboratory, KEPCO Research Institute)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.39, no.8, 2015 , pp. 801-806 More about this Journal
Abstract
Journal bearings support rotors using fluid film between the rotor and the stator. Generally, journal bearings are used in large rotor systems such as turbines in a power plant, because even in high-speed and load conditions, journal bearing systems run in a stable condition. To enhance the reliability of journal-bearing systems, in this paper, we study health-diagnosis algorithms that are based on the supervised learning method. Specifically, this paper focused on defining the unit of features, while other previous papers have focused on defining various features of vibration signals. We evaluate the features of various lengths or units on the separable ability basis. From our results, we find that one cycle datum in the time-domain and 60 cycle datum in the frequency domain are the optimal datum units for real-time journal-bearing diagnosis systems.
Keywords
Journal Bearing; Datum Unit; Feature; Diagnosis;
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