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        A fault diagnosis method using Interval coded deep belief network

        Jiahui Tang,Jimei Wu,Bingbing Hu,Chang Guo,Jialing Zhang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.5

        The rolling bearing, though a widely used component in rotating machinery, is also failure-prone. There are some difficulties in extracting valuable fault features from the vibration signal generated by the rolling bearing operation. Based on the interval coded deep belief network, an improved method for fault diagnosis is introduced to deal with the existing problems. Interval code is an encoding method to characterize fault features by using bearing vibration amplitude distribution. This method can also reduce the complexity of the original data and integrate input dimension. The deep belief network can remove the dependence from manual feature extraction and quickly extract the fault features from coding results. This proposed method is employed in the fault diagnosis experiments of rolling bearing to evaluate the performance. From the obtained experiment results, it can be concluded that the interval coded deep belief network boosts performance, which can eliminate the limitation of the input data dimension in the traditional deep learning model.

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        Bifurcation and chaos of the traveling membrane on oblique supports subjected to external excitation

        Mingyue Shao,Jiajuan Qing,Jimei Wu 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.11

        This paper analyzes bifurcation and chaos of the traveling membrane on oblique supports subjected to external excitation. Through coordinate transformation, the Von Karman nonlinear plate theory was employed to derive the non-linear governing equations of membrane on oblique supports in terms of axial movement in the oblique coordinate system. The boundary conditions were also given in the oblique coordinate system. The approximate solution for the governing equations was found via the Galerkin method as well as the fourthorder Runge-Kutta numerical computing method. The nonlinear dynamic techniques including Lyapunov exponents diagrams, bifurcation plots, Poincare maps, phase trajectories, and time histories were introduced to analyze the impacts of the angles of oblique supports, aspect ratios and traveling velocities on dynamics responses and the various forms of vibration regarding the membrane system.

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        Nonlinear vibration characteristics of accelerating viscoelastic membrane

        Mingyue Shao,Jing Wang,Jimei Wu,Jiajuan Qing,Zhicheng Xue 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.10

        Considering the viscoelastic characteristics of the accelerating viscoelastic membrane in roll-to-roll manufacturing, the nonlinear vibration characteristics of the accelerating viscoelastic membrane were investigated. The mechanical model of the accelerating viscoelastic membrane was established. Considering geometric nonlinearity, the equation of nonlinear vibration of the accelerating viscoelastic membrane was deduced. The ordinary differential equation of moving membranes was obtained using the Bubnov-Galerkin method and solved using the method of multiple scales. Numerical analyses reveal the effects of constant average speed, the speed fluctuation amplitude, the elastic modulus, the viscosity coefficient, and other parameters on the amplitude of vibration and the amplitude-frequency characteristics of moving membranes. Results provide theoretical guidance for the reasonable selection of printing parameters.

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