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가변 조건 유성기어 고장 진단 알고리즘의 신호처리 방법에 따른 성능 비교 연구
윤명백(Myeongbaek Youn),박정호(Jungho Park),윤병동(Byeng Dong Youn) 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.12
Lots of studies have been conducted for fault detection of planetary gears under assumptions of constant speed conditions. However, they could not be applicable to planetary gears in real world systems where they are operated under non-stationary conditions. Recently, a positive energy residual (PER) method was proposed for fault detection of planetary gears under non-stationary conditions. In the method, wavelet transform was used to extract fault-relevant features from vibration signals. Although the method showed good fault detection performance, fault sensitivity of the PER method could depends on types of faults and basis function. In this study, we investigate the effect of the PER method under variable conditions of wavelet transform on the fault detection performance. In addition, we evaluate the fault detection performance when other time-frequency analyses are used for the PER method. User changeable factors, especially types of signal processing and its parameters, are confused to compare PER performances.
조철민(Chulmin Cho),윤한솔(Hansol Yoon),윤헌준(Heonjun Yoon),김홍진(Hongjin Kim),이소원(Sowon Lee),윤병동(Byeng Dong Youn),김재은(Jae Eun Kim),김윤영(Yoon Young Kim) 대한기계학회 2012 대한기계학회 춘추학술대회 Vol.2012 No.11
Prior to designing energy harvesters, it is important to understand ambient energy characteristics and preliminary computation of harvestable energy. With special attention to vibrational and thermal ambient energy sources, this study aims at developing a corresponding energy map that can visualize ambient and harvestable energy). The energy map benefits energy harvesting technology in many ways. First, economic feasibility can be studied while selecting best sites for energy harvesting. Second, the map facilitates the conceptual and detailed design of an energy harvester type (e.g., piezoelectric, thermoelectric) and its target application such as wireless sensor network. The three-fold steps are proposed to build the energy map: 1) data acquisition for available energy, 2) harvestable energy analysis with energy conversion models, and 3) visualization of harvestable energy. We obtain site-specific harvestable energy maps and open discussion about the benefits of the proposed idea.