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Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel-Ziv Complexity under Varying Conditions.

, , , and . Sensors, 23 (8): 4044 (2023)

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A deep neural network based on kernel function and auto-encoder for bearing fault diagnosis., , , , and . I2MTC, page 1-6. IEEE, (2018)Nonlinear Characteristic of Clamp Loosing in Aero-Engine Pipeline System., , , , , and . IEEE Access, (2021)Approach to the Quantitative Diagnosis of Rolling Bearings Based on Optimized VMD and Lempel-Ziv Complexity under Varying Conditions., , , and . Sensors, 23 (8): 4044 (2023)Identification of Crack Location and Depth in Rotating Machinery Based on Artificial Neural Network., , , and . ISNN (2), volume 3973 of Lecture Notes in Computer Science, page 982-990. Springer, (2006)Uncertain Frequency Responses of Clamp-Pipeline Systems Using an Interval-Based Method., , , , , , and . IEEE Access, (2020)Improved Time Synchronous Averaging and Its Application in Data-Driven Rotor Fault Diagnosis., , , , and . IEEE Trans. Instrum. Meas., (2022)The Effects Analysis of Contact Stiffness of Double-Row Tapered Roller Bearing under Composite Loads., , , and . Sensors, 23 (10): 4967 (2023)Clamp Nonlinear Modeling and Hysteresis Model Parameter Identification., , , , , and . IEEE Access, (2021)Effect of internal excitation induced by non-uniform contact of roller bearings on nonlinear vibration and stability of rotor system under combined loads., , , , and . Commun. Nonlinear Sci. Numer. Simul., (October 2023)Fault Diagnosis for Abnormal Wear of Rolling Element Bearing Fusing Oil Debris Monitoring., , , , and . Sensors, 23 (7): 3402 (April 2023)