Real-time monitoring of laser scribing process utilizing high-speed camera

2016 ◽  
Author(s):  
Hamid Roozbahani ◽  
Antti Salminen ◽  
Matti Manninen
Keyword(s):  
Real Time ◽  
High Speed ◽  
High Speed Camera ◽  
Real Time Monitoring ◽  
Laser Scribing

A measurement method for the overturning coefficient of high-speed trains passing through complex terrain sections under strong wind conditions

2019 ◽  
Vol 234 (8) ◽  
pp. 885-895
Author(s):  
Zhaijun Lu ◽  
Weijia Huang ◽  
Mu Zhong ◽  
Dongrun Liu ◽  
Tian Li ◽  
...  
Keyword(s):  
Real Time ◽  
Complex Terrain ◽  
High Speed ◽  
Suspension System ◽  
Strong Wind ◽  
Real Time Monitoring ◽  
Monitoring Method ◽  
High Speed Trains ◽  
Strong Winds ◽  
Pass Through

Real-time monitoring of overturning coefficients is very important for ensuring the safety of high-speed trains passing through complex terrain sections under strong wind conditions. In recent years, the phenomenon of “car swaying” that occurs when trains pass through the complex terrain has brought new challenges to ensuring the safety and riding comfort of passengers. In China, more and more high-speed trains are facing strong wind environments when running in complex terrain sections. However, due to the limitation of objective conditions, so far, only a few economical and effective methods of measurement have been developed that are suitable for real-time monitoring of the overturning coefficient of commercial vehicles. Therefore, considering the applicability and universality of such a monitoring method, this study presents a method for measuring the overturning coefficient of trains using the primary suspension system under strong winds. A vehicle test was carried out to verify the accuracy of the method. The results show that after correction, the overturning coefficient obtained from the primary suspension system is generally consistent with the overturning coefficient obtained from the instrumented wheelset. The method of measuring the overturning coefficient of trains in strong wind environments with the primary suspension system is, thus, proven feasible.

High-Speed Camera Particle Tracking and Force Measurement, with Real-Time Haptic Feedback

2009 ◽  
Author(s):  
Richard Bowman ◽  
Cécile Pacoret ◽  
D. Sinan Haliyo ◽  
Stéphane Régnier ◽  
Graham Gibson ◽  
...  
Keyword(s):  
Real Time ◽  
Particle Tracking ◽  
High Speed ◽  
Haptic Feedback ◽  
Force Measurement ◽  
High Speed Camera

scholarly journals Real-time Monitoring of High-speed Spindle Operations Using Infrared Data Transmission

Procedia CIRP ◽  
2014 ◽  
Vol 14 ◽  
pp. 488-493
Author(s):  
K. Dröder ◽  
H.-W. Hoffmeister ◽  
M. Luig ◽  
T. Tounsi ◽  
T. Blume
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
High Speed ◽  
Real Time Monitoring ◽  
Infrared Data

scholarly journals Affordable Remote Monitoring of Health Status using Facial Image Processing

2019 ◽  
Vol 8 (12) ◽  
pp. 2518-2521
Keyword(s):  
Image Processing ◽  
Health Status ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
High Speed ◽  
Vital Signs ◽  
Close Monitoring ◽  
High Speed Camera ◽  
Remote Monitoring System

This paper presents a real-time monitoring system with a novel approach to assess the human health status without the need for using a body sensor. The project mainly targets improving the quality of life for those living independently but still require close monitoring. Skin fluctuation of the human face is monitored real time with a high-speed camera to determine vital signs including the heart rate and blood pressure. A few image processing algorithms have been utilized to determine the image fluctuations and extract the related features and acquire vital signals. An algorithm assesses and evaluates the risks involved in irregular behaviors and takes follow up actions where required. The application has been implemented on two platforms and interfaced with a high-speed camera to evaluate the performance of the remote monitoring system in indoor situations.

Realizing a Self-powered Real-time Monitoring System on High-speed Trains

2021 ◽  
Vol 263 (6) ◽  
pp. 434-441
Author(s):  
S.K. Lai ◽  
C. Wang ◽  
L.H. Zhang ◽  
Y.Q. Ni
Keyword(s):  
Real Time ◽  
High Speed ◽  
Energy Harvester ◽  
Contact Forces ◽  
Dynamic Responses ◽  
Real Time Monitoring ◽  
Harvesting Technique ◽  
High Speed Trains ◽  
Noise Data ◽  
Self Powered

The development of the worldwide high-speed rail network is expanding at a rapid pace, imposing great challenges on the operation safety. Recent advances in wireless communications and information technology can integrate the Internet of Things and cloud computing to form a real-time monitoring platform of high-speed trains. To realize this system, a sustainable power source is indispensable. In this case, an ideal solution is to deploy a vibration-based energy harvester instead of batteries for the electrical supply of wireless sensors/devices, as vibrations induced by rail/wheel contact forces and vehicle dynamics are an abundant energy source. To address this challenge, a multi-stable, broadband and tri-hybrid energy harvesting technique was recently proposed, which can work well under low-frequency, low-amplitude, and time-varying ambient sources. In this work, we will introduce our idea, following the recently proposed energy harvester and the dynamic responses of a train vehicle, to design a self-sustained sensing system on trains. Supported by this self-powered system, accelerometers and microphones deployed on an in-service train (in axle boxes/bogie frames) can measure vibration and noise data directly. The correlation of the vibration and noise data can then be analyzed simultaneously to identify the dynamic behavior (e.g., wheel defects) of a moving train.

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