Modelling and predictive investigation on the vibration response of a propeller shaft based on a convolutional neural network

Article Energy & Fuels

Modeling and Predictive Analysis of Small Internal Leakage of Hydraulic Cylinder Based on Neural Network

Yuan Guo et al.

Summary: This research proposes a model to simulate small internal leaks in hydraulic cylinders and accurately predict leakage data using neural networks. The results show that convolutional neural networks have the highest prediction accuracy, providing scientific and technical support for measuring and predicting small leaks in hydraulic cylinders.

ENERGIES (2021)

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Article Automation & Control Systems

More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine

Meng Jiao et al.

Summary: This study investigates a regularized extreme learning machine for SOC estimation, which is trained with the spectral Fletcher-Reeves algorithm and tuned with the beetle antennae search algorithm. The method shows advantages in preventing overfitting and improving convergence speed, demonstrating high robustness for SOC estimation when implemented with noisy data sets.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

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Article Acoustics

Analysis of quadcopter propeller vibration based on laser vibrometer

Endrowednes Kuantama et al.

Summary: The study analyzed the impact of unbalanced propellers on quadcopter performance using a laser vibrometer, finding that static balancing reduces vibration and increases stability. Vibration values showed a linear relationship with rotor speed, with higher speeds resulting in larger vibrations. Balanced propellers had maximum speed limits, aiding in overall performance optimization.

JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL (2021)

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Article Computer Science, Hardware & Architecture