Sensors Distribution Program in Health Monitoring of Side Forklift Steering Mechanism

2014 ◽  
Vol 530-531 ◽  
pp. 336-340
Author(s):  
Jing Jun Yang ◽  
Yi Min Liu ◽  
Guo Jian Huang ◽  
Xin Hua Wang
Keyword(s):  
Dynamic Simulation ◽  
Working Conditions ◽  
Health Monitoring ◽  
Maximum Stress ◽  
Simulation Analysis ◽  
Motion Simulation ◽  
Steering Mechanism ◽  
Simulation Calculation ◽  
Train Of Thought

In order to study the sensor distribution program in health monitoring of side forklift steering, we visited many ports and warehouses for inspection of side forklift steering safety in Huangpu district of Guangzhou, and summarized the most dangerous part of steering failure. Then we built a model of the steering mechanism which was simplified, and did motion simulation analysis .Then the dynamic simulation analysis was carried out on the ball pin. Finally, through the simulation calculation of maximum stress under various working conditions, we can determine the position of sensors stationing, and it provided with the train of thought of sensors distribution in health monitoring of side forklift steering mechanism.

The Simulation Analysis of Virtual Prototype of Hydraulic Shovel

2014 ◽  
Vol 614 ◽  
pp. 584-587
Author(s):  
Dan Dan Zhu
Keyword(s):  
Image Processing ◽  
Dynamic Simulation ◽  
Simulation Analysis ◽  
Virtual Prototype ◽  
Simulation Software ◽  
Structure Modeling ◽  
Virtual Design ◽  
Modeling And Analysis ◽  
Analysis Methods ◽  
Simulation Calculation

The application of dynamic simulation software ADAMS virtual prototype was carried out on the powerful triangle structure of excavator analysis methods, including environmental Settings; add parts import, motion pair, driving Settings, the simulation calculation and image processing, etc. Application by ADAMS virtual prototype technology to "strong triangle" structure modeling and analysis, the performance of the excavator movement process and intuitive parameters change, for the realization of the excavator laid the foundation of virtual design and dynamic.

Configuration Design and Simulation of Exoskeleton for Upper Limb Rehabilitation Train

2014 ◽  
Vol 701-702 ◽  
pp. 654-658 ◽  
Author(s):  
Yuan Zhang ◽  
Qiang Liu ◽  
Ji Liang Jiang ◽  
Li Yuan Zhang ◽  
Rui Rui Shen
Keyword(s):  
Upper Limb ◽  
Simulation Analysis ◽  
Motion Simulation ◽  
Upper Limb Rehabilitation ◽  
Motion Data ◽  
Upper Limb Exoskeleton ◽  
Movement Data ◽  
Kinematics Simulation ◽  
Motion Process ◽  
Limb Rehabilitation

A new upper limb exoskeleton mechanical structure for rehabilitation train and electric putters were used to drive the upper limb exoskeleton and kinematics simulation was carried. According to the characteristics of upper limb exoskeleton, program control and master - slave control two different ways were presented. Motion simulation analysis had been done by Pro/E Mechanism, the motion data of electric putter and major joints had been extracted. Based on the analysis of the movement data it can effectively guide the electric putter control and analysis upper limb exoskeleton motion process.

scholarly journals Dynamic Simulation and Control of a New Parallel Hybrid Power System

2020 ◽  
Vol 10 (16) ◽  
pp. 5467
Author(s):  
Po-Tuan Chen ◽  
Cheng-Jung Yang ◽  
Kuohsiu David Huang
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Internal Combustion Engine ◽  
Dynamic Simulation ◽  
Electric Motor ◽  
Fuzzy Logic Controller ◽  
Simulation Analysis ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Power Sources

To avoid unnecessary power loss during switching between the various power sources of a composite electric vehicle while achieving smooth operation, this study focuses on the development and dynamic simulation analysis of a control system for the power of a parallel composite vehicle. This system includes a power integration and distribution mechanism, which enables the two power sources of the internal combustion engine and electric motor to operate independently or in coordination to meet the different power-output requirements. The integration of the electric motor and battery-charging engine reduces the system complexity. To verify the working efficiency of the energy control strategy for the power system, the NEDC2000 cycle is used for the vehicle driving test, a fuzzy logic controller is established using Matlab/Simulink, and the speed and torque analysis of the components related to power system performance are conducted. Through a dynamic simulation, it is revealed that this fuzzy logic controller can adjust the two power sources (the motor and internal combustion engine) appropriately. The internal combustion engine can be maintained in the optimal operating region with low, medium, and high driving speeds.

scholarly journals Dynamic simulation analysis of spur gear space driven system with large inertia load

2020 ◽  
Vol 22 (1) ◽  
pp. 33-47
Author(s):  
Chao Li ◽  
Jianfeng Ma ◽  
Xuehao Yin ◽  
Hongbin Yang
Keyword(s):  
Dynamic Simulation ◽  
Simulation Analysis ◽  
Spur Gear ◽  
Driven System

Finite Element Analysis of the Chassis for Sugarcane Leaf Cutting Off Returning to Field Machinery

2014 ◽  
Vol 915-916 ◽  
pp. 305-308
Author(s):  
Jing Wang ◽  
Yu Xing Wang ◽  
Yan Qin Tang ◽  
Dian Wu Zhang ◽  
Zhen Hua Xu ◽  
...  
Keyword(s):  
Finite Element ◽  
Working Conditions ◽  
Maximum Stress ◽  
Excitation Frequency ◽  
Allowable Stress ◽  
Ansys Software ◽  
Element Analysis ◽  
Stress Contour ◽  
Leaf Cutting ◽  
Design Requirements

By modeling of sugarcane leaf cutting off returning to field machinery chassis and loading, this paper simplifies reasonably several different conditions of the chassis to the two forms. The finite element is used for the solution of the problem by using ANSYS software, solving the node stress contour of the chassis. Compared the maximum stress in the most dangerous working conditions to the allowable stress of the material, the result verifies the chassis strength to meet the design requirements. According to the vibration of the chassis at work, analyzing the first sixth modal of the chassis, and comparing with excitation frequency shows that the design of the chassis avoids the excitation frequency, which does not cause resonance at work. The results show that the chassis meets the design requirements.

Dynamic Simulation Analysis of the Crane Hoisting Process Based on Adams

2014 ◽  
Vol 940 ◽  
pp. 132-135 ◽  
Author(s):  
Yi Fan Zhao ◽  
Ling Sha ◽  
Yi Zhu
Keyword(s):  
Dynamic Simulation ◽  
Simulation Analysis ◽  
Three Dimensional ◽  
Wire Rope ◽  
Dynamics Simulation ◽  
Dimensional Model ◽  
Analysis Model ◽  
Three Dimensional Model ◽  
Adams Software ◽  
Simulation Results

Established the dynamics simulation analysis model of crane hoisting mechanism based on the theory of dynamics in Adams software, and then through the three dimensional model of lifting mechanism dynamics entities, the constraints, load, drive can be added, the motion law can be defined to simulation analysis the change of the force of wire rope, the change of displacement, velocity and acceleration of lifting weight in the lifting process. On the basis of the simulation results, it can make a great improvement for the structure of crane and provide a meaningful theoretical reference for the hoisting machinery innovation design.

Deep Learning-based Mental Health Monitoring Scheme for College Students Using Convolutional Neural Network

2021 ◽  
Vol 30 (06n08) ◽  
Author(s):  
Chao Du ◽  
Chang Liu ◽  
P. Balamurugan ◽  
P. Selvaraj
Keyword(s):  
Neural Network ◽  
Mental Health ◽  
College Students ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Health Monitoring ◽  
Simulation Analysis ◽  
Personality Development ◽  
Monitoring Scheme ◽  
Depression Level

Artificial intelligence (AI) in healthcare has recently been promising using deep neural networks. It is indeed even been in clinical trials more and more, with positive outcomes. Deep learning is the process of using algorithms to train a neural network model using huge quantities of data to learn how to execute a given task and then make an accurate classification or prediction. Apart from physical health monitoring, such deep learning models can be used for the mental health evaluation of individuals. This study thus designs a deep learning-based mental health monitoring scheme (DL-MHMS) for college students. This model uses the most efficient convolutional neural network (CNN) to classify the mental health status as positive, negative, and normal using the EEG signals collected from college students. The simulation analysis achieves the highest classification accuracy and F1 scores of 97.54% and 98.35%, less sleeping disorder rate of 21.19%, low depression level of 18.11%, reduced suicide attention level of 28.14%, increasing personality development ratio of 97.52%, enhance self-esteem ratio of 98.42%, compared to existing models.

scholarly journals Dynamic Simulation of an ICE-ORC Combined System Under Various Working Conditions

2018 ◽  
Vol 51 (31) ◽  
pp. 29-34 ◽  
Author(s):  
LIU Tong ◽  
WANG Enhua ◽  
MENG Fanxiao ◽  
ZHANG Xu
Keyword(s):  
Dynamic Simulation ◽  
Working Conditions ◽  
Combined System
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