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        Gear fault identification and classification of singular value decomposition based on Hilbert-Huang transform

        Zhongyuan Su,Yaoming Zhang,Minping Jia,Feiyun Xu,Jianzhong Hu 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.2

        An improved singular value decomposition method of gear fault identification based on Hilbert-Huang transform was proposed to overcome the problem of reconstructing a feature matrix of singular value decomposition. The method includes three steps. First, the instantaneous frequency and amplitude matrices were acquired by Hilbert-Huang transform from faulted gear signals. Second, after the matrices were decomposed by singular value decomposition, the defined distances of singular value vectors and the optimal threshold of the distance for classification were calculated. Third, the fault characteristics of a gearbox were identified and classified by the threshold of the distances. The result demonstrates that the proposed method effectively identifies the gear fault and can realize an automatic gear fault diagnosis.

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        Degradation of 1,4-dioxane by Newly Isolated Acinetobacter sp. M21 with Molasses as the Auxiliary Substrate

        Peng Wang,Tingchen Cui,Yadong Yang,Jialu Li,Yaoming Su,Na Liu,Hong-Mei Li 한국생물공학회 2022 Biotechnology and Bioprocess Engineering Vol.27 No.3

        The elimination of 1,4-dioxane (dioxane), a persistent organic pollutant, is a great challenge owing to its high hydrophilicity and chemical stability. Cometabolic bioremediation technology is an effective approach to remove many organic pollutants. Because of its eco-friendly and inexpensive properties, molasses is widely used as an auxiliary biomaterial to clean up compound-contaminated sites. In this study, a newly isolated bacterium Acinetobacter sp. M21 could effectively remove dioxane using molasses without any apparent lag phase. Under the optimized molasses dosage of 0.3%, M21 could remove 500 mg/L dioxane by 60.0 ± 2.8% within 20 days with a maximum dioxane degradation rate of 1.3 ± 0.2 mg-dioxane/L/h in the first day, and exhibited extraordinary dioxane tolerance up to 1,000 mg/L, while so high dose of dioxane negatively affected the cell growth. The degradation pathway of dioxane was also determined, and was supported by the detection of 2-hydroxyethoxyacetic acid as the key metabolite of dioxane. High level degradation activity of M21 to 20 mg/L dioxane was maintained over a variable of pH (5-11), temperatures (15-45°C), and salinities (up to 8%, as NaCl wt). This is the first report linking the cometabolism of dioxane and molasses by Acinetobacter sp. M21, a bacterium that shows great potential for field dioxane bioremediation.

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