Results 11 to 20 of about 3,637,337 (307)

Research on Three-Phase Asynchronous Motor Fault Diagnosis Based on Multiscale Weibull Dispersion Entropy

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, Enguang Sun, Shengtong Zhou, Jiandong Shang, Yang Wang, Qiuyang Fan   +5 more
doaj   +1 more source

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, Ekhlas Karam, Mohammed E. Ali   +2 more
doaj   +1 more source

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, Gan Wang, Jiandong Shang, Hui Liu, Qian Xiao, Sanmao Xie   +5 more
doaj   +1 more source

Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management

Sustainability, 2022
The electrical energy storage system faces numerous obstacles as green energy usage rises. The demand for electric vehicles (EVs) is growing in tandem with the technological advance of EV range on a single charge.
Aditya Kachhwaha, G. I. Rashed, Akhil Ranjan Garg, O. Mahela, Baseem Khan, M. B. Shafik, Mohamed G. Hussien   +6 more
semanticscholar   +1 more source

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, Hui Liu, Jiankun Dong, Gan Wang, Linglan Wang, Gang Li   +5 more
doaj   +1 more source

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, Gan Wang, Jiandong Shang, Enguang Sun, Sanmao Xie   +4 more
doaj   +1 more source

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, Gang Li, Wang Hu, Qiuyang Fan, Shengtong Zhou   +4 more
doaj   +1 more source

Design of Controller for Electrical Vehicle to Grid Power

Journal of Physics: Conference Series, 2021
This paper prescribed the design of controller for electrical vehicle to Grid power, by using this controller improve the power requirement of grid and reactive power compensation capability.
K. Baghmare, P. Daigavane
semanticscholar   +1 more source

The Early Diagnosis of Rolling Bearings’ Faults Using Fractional Fourier Transform Information Fusion and a Lightweight Neural Network

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, Gang Li, Chengjie Song, Minghua Song   +3 more
doaj   +1 more source

A pattern recognition method of lower limb movements based on convolutional neural network

Journal of Hebei University of Science and Technology, 2022
In order to solve the problems of low data and low recognition rate in the current pattern recognition technology of lower limb movements,a new lower limb movement pattern recognition method based on convolutional neural network was proposed.The lower ...
Xia ZHANG, Dong ZHAO, Sihan TAO
doaj   +1 more source