scholarly journals A Network-Based Method to Analyze EMI Events of On-Board Signaling System in Railway

2020 ◽  
Vol 10 (24) ◽  
pp. 9059
Author(s):  
Meng Li ◽  
Yinghong Wen ◽  
Guodong Wang ◽  
Dan Zhang ◽  
Jinbao Zhang
Keyword(s):  
High Speed ◽  
Electromagnetic Compatibility ◽  
Graph Model ◽  
System Level ◽  
Train Control ◽  
Modeling Process ◽  
Time Operation ◽  
Measurement Results ◽  
Real Time Operation

The On-board Train Control System (OTCS) plays an important role in the real-time operation of the electric multiple units (EMU) in high-speed railway. The EMU is a complex system made up of various electrical and electronic equipment, so the interactions of the electromagnetic (EM) environment and OTCS are difficult to study, which leads to more challenges to analyze EM interference (EMI) events at the system level. To overcome this difficulty, this paper proposes the thought of a graph model to solve the problem. First, a framework is proposed to more clearly reflect the relationship between the EMC (Electromagnetic Compatibility) problem and network through a comparison with them. Second, a network theory-based model is presented to express the EMC elements for the OTCS in EMU. It decomposes the OTCS and EMU with EMC elements into edges and nodes of the network, which parameters are defined corresponding to EM sources, sensitive equipment, and coupling paths. Thus, each part could be modeled separately or together by calculation, simulation, or measurement, respectively, and the EMC problem could be represented by the paths from origin to destination in the network. Moreover, the modeling process was elucidated by the specific cases in OTCS and the validity of the proposed approach was verified by calculation and measurement results in the case study.

Performance Analysis of Adaptive Control Technique for Aircraft Gas Turbine Engine

2017 ◽  
Vol 9 (4) ◽  
Author(s):  
S. Ganesan ◽  
R. Jaganraj ◽  
G.M. Priyadharshini
Keyword(s):  
Adaptive Control ◽  
High Speed ◽  
Aircraft Engine ◽  
Control Technique ◽  
Atmospheric Conditions ◽  
Turbine Engine ◽  
Time Operation ◽  
Real Time Operation ◽  
Speed Mode ◽  
Discharge Pressure

This paper presents an adaptive control technique to compensate the thrust variation in an aircraft engine whose performance has been disturbed due to atmospheric conditions. The course of dysfunction appears when a large throttle transient is performed such that the engine switched from low to high speed mode. A relationship is observed between engine disturbance and the overshoot in engine shaft rpm or compressor discharge pressure or turbine temperature, which is determined to cause the thrust variation. This relationship is used to adapt a control. This method works very well up to the operability limit of an engine. Additionally, the type of disturbance identified from sensors data will be useful to implement the adaptive control in real time operation.

Optimal Real-Time Operation of Multipurpose Urban Reservoirs: Case Study in Singapore

2014 ◽  
Vol 140 (4) ◽  
pp. 511-523 ◽  
Author(s):  
Stefano Galelli ◽  
Albert Goedbloed ◽  
Dirk Schwanenberg ◽  
Peter-Jules van Overloop
Keyword(s):  
Real Time ◽  
Time Operation ◽  
Real Time Operation

Alto do Rodrigues GeDIg pilot - Case study for continuous steam injection recovery combined with Real Time Operation

2008 ◽  
Author(s):  
Geraldo de Moura Lacerda ◽  
Jose Henrique Patriota ◽  
Jose Ivamberg Pereira ◽  
Luis Americo Silva de Lima ◽  
Jacilene Torres
Keyword(s):  
Real Time ◽  
Steam Injection ◽  
Time Operation ◽  
Real Time Operation

Rotating Shape Modeling with SPIDAR

1992 ◽  
Vol 4 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Makoto Sato ◽  
◽  
Shun-ichi Numazaki ◽  
Yukihiro Hirata ◽  
Hiroshi Kawarada
Keyword(s):  
High Speed ◽  
Real Space ◽  
Shape Modeling ◽  
Deformation Model ◽  
3 Dimensional ◽  
Human Interface ◽  
3D Objects ◽  
Time Operation ◽  
Real Time Operation ◽  
Object Models

To develop a human interface for shape modeling of 3-dimensional (3D) objects, it is necessary to construct a “virtual workspace” where we can directly manipulate object models as in real space. We have proposed Space Interface Device for Artificial Reality (SPIDAR) for a virtual workspace. Using SPIDAR, we can operate in a virtual workspace with visual and force sensation. We have developed a rotating shape modeling system that simulates a turntable similar to that used for modeling clay. For real-time operation, we have considered object volume and have proposed an algorithm of high-speed and natural deformation model under the condition of constant volume.

scholarly journals Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System

2020 ◽  
Vol 10 (21) ◽  
pp. 7944
Author(s):  
Dan Zhang ◽  
Yinghong Wen ◽  
Jinbao Zhang ◽  
Jianjun Xiao ◽  
Yali Song ◽  
...  
Keyword(s):  
High Speed ◽  
Electromagnetic Compatibility ◽  
Theoretical Method ◽  
Simulation Method ◽  
Physical Structure ◽  
Modeling Method ◽  
Test Method ◽  
System Level ◽  
Modular System ◽  
System Level Modeling

For high-speed train, balise transmission module (BTM) system is easily interfered with by other equipment of the train. This could cause the train to malfunction. Studying the electromagnetic susceptibility (EMS) of the BTM is very important for the performance and efficiency of the train. In this paper, a modular, system-level modeling method is proposed to predict the EMS of BTM systems. Based on object-oriented technology and a modular method, the BTM system is disassembled into several modules according to the electromagnetic characteristics of the whole system rather than the physical structure. All the modules are mutually independent, and the total EMS could be evaluated by the output of them. The modules of three key elements of electromagnetic compatibility (EMC), i.e., sources, coupling paths, and sensitive equipment, are established by the theoretical method, full-wave simulation method, and black-box test method, respectively, and put into different layers. According to the functions of the BTM system, the EMS of BTM is given by analyzing the interrelation of input and output of modules. Results of the proposed model were verified by measurement.

scholarly journals A Kalman Filter-Based Kernelized Correlation Filter Algorithm for Pose Measurement of a Micro-Robot

Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 774
Author(s):  
Heng Zhang ◽  
Hongwu Zhan ◽  
Libin Zhang ◽  
Fang Xu ◽  
Xinbin Ding
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
High Speed ◽  
Correlation Filter ◽  
Moving Targets ◽  
Vision Measurement ◽  
Time Operation ◽  
Micro Robot ◽  
Real Time Operation ◽  
Inter Frame

This paper proposes a moving-target tracking algorithm that measures the pose of a micro-robot with high precision and high speed using the Kalman filter-based kernelized correlation filter (K2CF) algorithm. The adaptive Kalman filter can predict the state of linearly and nonlinearly fast-moving targets. The kernelized correlation filter algorithm then accurately detects the positions of the moving targets and uses the detection results to modify the moving states of the targets. This paper verifies the performance of the algorithm on a monocular vision measurement platform and using a pose measurement method. The K2CF algorithm was embedded in the micro-robot’s attitude measurement system, and the tracking performances of three different trackers were compared under different motion conditions. Our tracker improved the positioning accuracy and maintained real-time operation. In a comparison study of K2CF and many other algorithms on Object Tracking Benchmark-50 and Object Tracking Benchmark-100 video sequences, the K2CF algorithm achieved the highest accuracy. In the 400 mm × 300 mm field of view, when the target radius is about 3 mm and the inter-frame acceleration displacement does not exceed 5.6 mm, the root-mean-square error of position and attitude angle can satisfy the precision requirements of the system.

System-Level Fault Prognosis for High-Speed Railway On-Board Systems

2019 ◽  
Vol 2673 (12) ◽  
pp. 584-595
Author(s):  
Yu Zang ◽  
Wei ShangGuan ◽  
Bai-Gen Cai ◽  
Hua-Shen Wang ◽  
Lovlesh Kaushik ◽  
...  
Keyword(s):  
Traffic Safety ◽  
High Speed ◽  
Failure Modes ◽  
System Level ◽  
Effect Analysis ◽  
Train Control ◽  
Actual Operation ◽  
Fault Prognosis ◽  
Core Part ◽  
Different Levels

The on-board system is the core part of a train control system that ensures traffic safety and improves operational efficiency. At present, fault data processing methods for on-board systems do not show the degradation of components, subsystems, or the system over time, but only focus on identifying faults after a failure has occurred, so fault prognosis cannot be realized. This paper applies a multilevel flow model based on system-level failure mode and effect analysis. The model defines the primary and secondary alarms, divides the failure modes into different levels, and ranks the risk priority numbers at different levels. The Balise transmission system is then used as an example to demonstrate the system-level fault prognosis methodology, and the variables from different levels are combined through the component model, subsystem model, and system model. The results are verified according to the actual operation manual.

A System-Level Correction SAR ADC with Noise-Tolerant Technique

2018 ◽  
Vol 27 (13) ◽  
pp. 1850202
Author(s):  
Daiguo Xu ◽  
Kaikai Xu ◽  
Shiliu Xu ◽  
Lu Liu ◽  
Tao Liu
Keyword(s):  
High Speed ◽  
Cmos Technology ◽  
Sar Adc ◽  
System Level ◽  
Small Noise ◽  
Dynamic Comparator ◽  
Analog To Digital ◽  
The Core ◽  
Measurement Results ◽  
Noise Tolerant

A system-level correction successive approximation register analog-to-digital converter (SAR ADC) with regulated comparator of noise-tolerant technique is proposed. First, a substrate voltage boost technique is provided to improve the linearity and speed of sampling switch. Secondly, the proposed SAR ADC provides a comparator of noise regulation without redundant comparison cycle. The proposed comparator would be regulated in high-speed large noise state in large input differential signals. In the condition of small input differential signals, the comparator would be adjusted to low-speed small noise state. Furthermore, a high-speed low-power technique is proposed to optimize the performance of dynamic comparator. Additionally, a fast SAR logic structure is provided to increase the conversion speed of SAR ADC. To demonstrate the proposed techniques, a design example of SAR ADC is fabricated in 65[Formula: see text]nm CMOS technology. The SAR ADC is able to tolerate about 1.1 LSB noise errors in post-simulation with the operation state regulated automatically. The core occupies an active area of only 0.025[Formula: see text]mm2 and consumes 1.5[Formula: see text]mW. Measurement results achieve SFDR [Formula: see text][Formula: see text]dB and SNDR [Formula: see text][Formula: see text]dB, resulting in the FOM of 21.6[Formula: see text]fJ per conversion step.

Vision-Controlled Robot Using Hand Pose Estimation without Marker Loading Requirement

2012 ◽  
Vol 162 ◽  
pp. 358-367
Author(s):  
Kiyoshi Hoshino
Keyword(s):  
Pose Estimation ◽  
High Speed ◽  
Visual Servoing ◽  
Hand Pose Estimation ◽  
Orthogonal Relationship ◽  
Time Operation ◽  
Real Time Operation ◽  
Hand Region ◽  
Detailed Search ◽  
Hand Pose

The author proposes a visual-servoing and vision-controlled robot. It claims no sensors installed or special control means used, instead of that a high-precision and high-speed 3D hand pose estimation permits real time operation with two cameras installed at positions of loosely orthogonal relationship, using one PC of the normal specifications. Two cameras have their own database. Once sequential hand images are recorded with these two high-speed cameras, the system first selects one database with bigger size of hand region in each recorded image. Second, a coarse screening is carried out according to the proportional information on the hand image which roughly correspond to wrist rotation, or thumb or finger extension. Third, a detailed search is performed for similarity among the selected candidates. The estimated results are transmitted to a robot so that the same motions of an operator is reconstructed in the robot without time delay.

scholarly journals Reliability evaluation of the Chinese Train Control System Level 3 using a fuzzy approach

2018 ◽  
Vol 232 (9) ◽  
pp. 2244-2259
Author(s):  
Lei Jiang ◽  
Xiaomin Wang ◽  
Yiliu Liu
Keyword(s):  
Control System ◽  
Failure Rate ◽  
High Speed ◽  
Expert Judgment ◽  
Reliability Evaluation ◽  
System Level ◽  
Efficient Operation ◽  
Train Control ◽  
Train Control System ◽  
Level 3

The Chinese Train Control System Level 3 (CTCS-3) has been developed to ensure the safe and efficient operation of high-speed railway networks in China. Failure of the CTCS-3 may result in serious accidents, causing damage to assets and risking the safety of passengers. In this paper, the reliability evaluation of the CTCS-3, comprising an onboard and trackside subsystem, is conducted using the fault tree analysis where the basic events are divided into known failure rate basic events and unknown failure rate basic events. The probabilities of the occurrence of the known basic events are obtained from field data, while those of the unknown failure rate basic events are estimated by expert judgment. The fuzzy set theory is then adopted to deal with the imprecise expert judgment. Considering a specific operational scenario, to accomplish one mission, the failure probability of the CTCS-3 is calculated. Importance analysis is carried out not only to identify the critical basic events but also to provide suggestions on the improvement of preventive maintenance. Sensitivity analysis shows that hardware factors have the most significant effect on the reliability of the CTCS-3.

Sign in / Sign up

Export Citation Format

Share Document