Papers by Keyword: Adaptive Cone Kernel Distribution

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Authors: Gi Young Park, C.K. Lee, Jung Taek Kim, K.C. Kwon, Sang J. Lee
Abstract: To monitor the wear and degradation on a pipe by corrosion during a plant operation, the vibration signals were measured by an accelerometer and analyzed by several analysis techniques. From the conventional methods, it was difficult to identify the wear and degradation on the pipe. And hence, the time-frequency distribution (TFD) and the adaptive cone-kernel distribution (ACKD) devised for reducing the interfering cross-terms are applied to the acquired data. They can provide the distinguishing peak patterns between the normal and corrosion signals.
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