To solve the problem of vibration motor fault detection accuracy and inefficiency in smartphone components, this paper proposes a fault diagnosis method based on the wavelet packet and improves long and short-term memory network. First, the voltage signal of the vibration motor is decomposed by a wavelet packet to reconstruct the signal. Secondly, the reconstructed signal is input into the improved three-layer LSTM network as a feature vector. The memory characteristics of the LSTM network are used to fully learn the time-series fault feature information in the unsteady state signal, and then, the model is used to diagnose the motor fault. Finally, the feasibility of the proposed method is verified through experiments and can be applied to engineering practice. Compared with the existing motor fault diagnosis method, the improved WP-LSTM diagnosis method has a better diagnosis effect and improves fault diagnosis.
In order to solve the problem of selecting and evaluating suppliers by subjective experience and emotional factors. In combination with the actual situation of the enterprise and the plan for the next ten years, an expert group was set up according to multi-attribute, group decision, the basic principles and steps of supplier selection and evaluation, and 4 first-level indicators of quality, cost, delivery time and service and 11 second-level indicators corresponding to each first-level indicator were selected by Delphi method. Analytic hierarchy process was used to determine the weight of each index, and a suitable supplier selection and evaluation system was constructed. This paper improved the current situation of supplier selection and evaluation, which was beneficial to the long-term development of enterprises.
A rotary magnetorheological (MR) damper for a semi-active suspension was developed, laboratory tested. The working principle and features of the rotary MR damper was outlined and its theoretical model was developed. Full optimization of the magnetic design was accomplished with the help of magnetic finite element software ANSYS in the limited space. The parameters of the MR damper’s theoretical model were identified by a series of harmonic loading tests. It is demonstrated that the damping capacity of this MR damper is a function of strain amplitude and field strength, and it is feasible to use for the life application in terms of force characteristics.
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