A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting

2022 ◽  
Vol 107 ◽  
pp. 104518
Author(s):  
Kun Jin ◽  
Shaolong Sun ◽  
Hongtao Li ◽  
Fengting Zhang
Keyword(s):  
Modal Analysis ◽  
Analysis Model ◽  
Passenger Flow ◽  
Search Index

Structural Strength and Modal Analysis of a Certain Type of Heavy Vehicle Frame

2015 ◽  
Vol 757 ◽  
pp. 69-73 ◽  
Author(s):  
Zhi Qing Guo ◽  
Yan Jiao Li ◽  
Chang Jiang Liu ◽  
Qiu Juan Lv ◽  
Zhong Bao Qin
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Modal Analysis ◽  
Computer Aided Design ◽  
Heavy Vehicle ◽  
Analysis Model ◽  
Element Analysis ◽  
Advantages And Disadvantages ◽  
Structure Reliability ◽  
Aided Design

This article make a research based on a certain type of heavy vehicle, In the research, we have made some analyses on structure reliability of the heavy truck with the assistance of some simulation platforms, such as computer aided design, finite element analysis, etc.. Based on the establishment of a correct finite element analysis model, analysis method is mainly about some research of the frame, such as typical working conditions of static analysis and modal analysis. Through these work, we can have a better understanding about the static and dynamic characteristic of the frame, so that we can find out the advantages and disadvantages of the car.

scholarly journals A novel identification technique of machine tool support stiffness under the variance of structural weight

2021 ◽  
Author(s):  
Zhen-Wei Zhuang ◽  
Jen-Chang Lu ◽  
De-Shin Liu
Keyword(s):  
Finite Element ◽  
Machine Tool ◽  
Modal Analysis ◽  
Reaction Force ◽  
Maximum Error ◽  
Impact Testing ◽  
Tool Support ◽  
Analysis Model ◽  
Modal Assurance Criterion ◽  
Element Analysis

AbstractThe preload-dependent stiffness of machine tool support was investigated in this study. A novel identification method of support stiffness has been proposed through the experimental modal analysis and finite element method. The support stiffness was identified with different machine weight during the assembling process of a machining center. Specifically, the structure weight increase of a machine tool in the assembly process causes its center of gravity to shift. Accordingly, the variance of support reaction affects the support stiffness. To explore the variance of support stiffness, the researchers of this study collaborated with a machine tool manufacturer. Impact testing was performed on each assembly stage. Additionally, finite element analysis was used to establish equations between the reaction force versus stiffness of supports under the structural weight variance. The obtained equations were used to predict the natural frequency and vibration mode of structures in various assembly stages. The maximum error between the experimental and simulated natural frequencies was 7.1%, and the minimum modal assurance criterion was 0.77. Finally, a modal analysis model that updates support stiffness automatically, which could be adopted by machine builders to develop new machine tool, is proposed.

Development of speech production analysis model using modal analysis

2020 ◽  
Vol 2020 (0) ◽  
pp. 130
Author(s):  
Kazuya YOKOTA ◽  
Satoshi ISHIKAWA ◽  
Kosuke TAKEZAKI ◽  
Yosuke KOBA ◽  
Shinya KIJIMOTO
Keyword(s):  
Modal Analysis ◽  
Speech Production ◽  
Analysis Model ◽  
Production Analysis

Dynamic Analysis of Steelwork of the Small Capacity and Economic Mechanical Parking System

2012 ◽  
Vol 252 ◽  
pp. 158-161
Author(s):  
Hai Ying Li ◽  
Hua Liang Wu ◽  
Xiao Hong Chen ◽  
Sheng Jian Xie
Keyword(s):  
Finite Element ◽  
Dynamic Analysis ◽  
Modal Analysis ◽  
Theoretical Basis ◽  
Analysis Model ◽  
Full Load ◽  
Finite Element Software ◽  
Parking System ◽  
Small Capacity

By using finite element software, the paper establishes the steelwork analysis model of the small capacity and economic mechanical parking system and provides the modal analysis of steelwork in both cases of no-load and full load. In this paper, it provides a theoretical basis for the design of mechanical parking system steelwork.

Application of Data Mining in the Forecasting of Railway Passenger Flow

2013 ◽  
Vol 834-836 ◽  
pp. 958-961 ◽  
Author(s):  
Dan Zheng ◽  
Yao Wang ◽  
Peng Zhi Tang ◽  
Yan Ping Wu
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Data Warehouse ◽  
Flow Analysis ◽  
Forecast Model ◽  
Analysis Model ◽  
Data Mart ◽  
Passenger Flow ◽  
Network Method ◽  
Railway Passenger

This paper through studying the theory of data warehouse and data mining, applies these technologies to deal with the large number data in the Ticket Selling and Reserving System of Chinese Railway (TRS), uses the effective data mining to the passenger flow analysis, builds up the logical forecasting and analysis model. This paper firstly discusses the current situation and problems faced by forecasting of passenger flow, then applies the data warehouse technology to design the data mart of this subject. Next, samples and analyses this data which collecting in data mart adopting neural network method, builds data analysis model carrying out research and the experiment, finally puts forward a feasible forecast model for the passenger flow forecasting.

Modal analysis and experimental research on a planetary reducer with small tooth number difference

2020 ◽  
Vol 44 (2) ◽  
pp. 202-212
Author(s):  
Chao Huang ◽  
Baiyue Huang ◽  
Yi Zhang ◽  
Ke Xiao
Keyword(s):  
Modal Analysis ◽  
Natural Frequencies ◽  
Rotation Frequency ◽  
Operating Conditions ◽  
Modal Identification ◽  
Analysis Model ◽  
Modal Assurance Criterion ◽  
Gear Mesh ◽  
Small Tooth ◽  
Tooth Number

To comprehensively analyze the modal characteristics of the planetary reducer with small tooth number difference, based on shaft–bearing–gear–shell coupling, a finite element modal analysis model was established in ABAQUS. The teeth meshing sites were constrained by binding, bearings were simulated by spring elements, and then the natural frequencies and corresponding vibration modes of the reducer were obtained by applying the Lanczos method. Further, a hammering modal experiment on the reducer was carried out utilizing LMS Test.Lab. The modal data were analyzed using a modal identification method, and the modal frequencies and damping ratios were achieved, also the experimental modal parameters were validated according to the modal assurance criterion. The research results indicate that the lowest-order natural frequency of the reducer is 148.53 Hz, which is much higher than the rotation frequency of the eccentric shaft, double gear, and output gear. Also, the two-stage gear mesh frequencies are away from the natural frequencies, therefore the reducer under normal operating conditions will not cause coupling resonance. This research provides a theoretical basis and experimental reference for the dynamic structure optimization of the planetary reducer.

scholarly journals An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Xuehui Wang ◽  
Yong Zhang ◽  
Hao Liu ◽  
Yang Wang ◽  
Lichun Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Model ◽  
Principal Component Analysis Model ◽  
Robust Principal Component Analysis ◽  
Passenger Flow ◽  
Propagation Law ◽  
Event Mining ◽  
Potential Impact

Subway is an important transportation means for residents, since it is always on schedule. However, some temporal management policies or unpredicted events may change passenger flow and then affect passengers requirement for punctuality. Thus, detecting anomaly event, mining its propagation law, and revealing its potential impact are important and helpful for improving management strategy; e.g., subway emergency management can predict flow change under the condition of knowing specific policy and estimate traffic impact brought by some big events such as vocal concerts and ball games. In this paper, we propose a novel anomalies detection method of subway passenger flow. In this method, an improved robust principal component analysis model is presented to detect anomalies; then ST-DBSCAN algorithm is used to group the station-level anomaly data on space-time dimensions to reveal the propagation law and potential impact of different anomaly events. The real flow data of Beijing subway are used for experiments. The experimental results show that the proposed method is effective for detecting anomalies of subway passenger flow in practices.

scholarly journals Operational Modal Analysis, Model Update and Fragility Curves Estimation, through Truncated Incremental Dynamic Analysis, of a Masonry Belfry

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 120
Author(s):  
Ilaria Capanna ◽  
Riccardo Cirella ◽  
Angelo Aloisio ◽  
Rocco Alaggio ◽  
Franco Di Fabio ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Modal Analysis ◽  
Seismic Analysis ◽  
Fragility Curves ◽  
Element Model ◽  
Operational Modal Analysis ◽  
Analysis Model ◽  
Ground Acceleration ◽  
Masonry Towers

Masonry towers, located in seismic zones, are vulnerable and prone to damages up to compromise their stability. The scatter of data on the mechanical properties of masonry, geometry and boundary conditions determine a lack of building knowledge on their expected behaviour. Therefore the assessment of the seismic capacity represents a critical task. This paper contributes to the issue of seismic analysis of masonry towers, focusing a meaningful case study: the St.Silvestro belfry in L’Aquila, Italy. The tower, severely damaged by the 2009 earthquake sequence, underwent extensive restoration works, endeavoured to mitigate its vulnerability. The observed seismic damage, the performed no-destructive testing campaign and the accomplished rehabilitation measures are described in the paper. The authors appraised the actual seismic performances of the St.Silvestro belfry, reinforced by the last restoration works. At first, the Operational Modal Analysis (OMA) is carried out to enhance building knowledge. In a second step, a refined finite element model is calibrated on the results from OMA to seize the actual dynamic response. Ultimately, by using the updated finite element model, the authors estimate the fragility curves in terms of peak ground acceleration using truncated incremental dynamic analyses.

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