Results 1 to 10 of about 6,438,746 (250)
A method for analyzing muscle fatigue characteristics based on sEMG signal multifractal
Journal of Hebei University of Science and Technology, 2023 Aiming at the problem that surface EMG signals (sEMG) are inaccurate in estimating muscle fatigue due to their non-stationary, nonlinear, self-similarity and other complex characteristics, a method for analyzing muscle fatigue characteristics based on ...
Zhongli GU +4 more
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Applied Bionics and Biomechanics, 2022 The motivation of this research is to review all methods used in data compression of collected data in monitoring the condition of equipment based on the framework of edge computing.
Liqiang Song +2 more
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Entropy, 2023 Three-phase asynchronous motors have a wide range of applications in the machinery industry and fault diagnosis aids in the healthy operation of a motor.
Fengyun Xie +5 more
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Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion
Sensors, 2023 Traditional methods of gearbox fault diagnosis rely heavily on manual experience. To address this problem, our study proposes a gearbox fault diagnosis method based on multidomain information fusion.
Fengyun Xie +5 more
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Research on the Gearbox Fault Diagnosis Method Based on Multi-Model Feature Fusion
Machines, 2022 The gearbox is an important component of rotating machinery and is of great significance for gearbox fault diagnosis. In this paper, a gearbox fault diagnosis model based on multi-model feature fusion was proposed that addressed the limitations of a ...
Fengyun Xie +5 more
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Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation
Mathematics, 2023 The vibration signal acquired by a single sensor contains limited information and is easily interfered by noise signals, resulting in the inability to fully express the operating characteristics and state of a gearbox.
Fengyun Xie +4 more
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Intelligent Fault Diagnosis of Variable-Condition Motors Using a Dual-Mode Fusion Attention Residual
Journal of Marine Science and Engineering, 2023 Electric motors play a crucial role in ship systems. Detecting potential issues with electric motors is a critical aspect of ship fault diagnosis. Fault diagnosis in motors is often challenging due to limited and noisy vibration signals.
Fengyun Xie +4 more
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Fractal and Fractional, 2023 In response to challenges associated with feature extraction and diagnostic models’ complexity in the early diagnosis of bearings’ faults, this paper presents an innovative approach for the early fault diagnosis of rolling bearings.
Fengyun Xie +3 more
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Design of Optimal PID Controller for Electric Vehicle Based on Particle Swarm and Multi-Verse Optimization algorithms [PDF]
Engineering and Technology Journal, 2023 The automotive industry is moving toward more environmentally friendly automobiles with greater range and performance than traditional vehicles as the effects of global warming worsen.
Arkan Jassim +2 more
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A Small Target Localization Method Based on the Magnetic Gradient Tensor
Micromachines, 2022 Currently, many small target localization methods based on a magnetic gradient tensor have problems, such as complex solution processes, poor stability, and multiple solutions.
Bo Wang +4 more
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