Design and application on electric vehicle real-time condition monitoring system by Internet of things technology

2014 ◽  
Author(s):  
Zhiping Liu ◽  
Wei Tao ◽  
Lei Jiang ◽  
Cunle Zhu
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Electric Vehicle ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Time Condition ◽  
Condition Monitoring System ◽  
Internet Of Things Technology ◽  
Design And Application

Transmission Line Condition Monitoring Based on Internet of Things in Smart Grid

2013 ◽  
Vol 336-338 ◽  
pp. 2488-2493 ◽  
Author(s):  
Lei Chen ◽  
Zai Chao Huang ◽  
Peng Wu ◽  
Chuan Liu
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Transmission Line ◽  
Real Time ◽  
Condition Monitoring ◽  
Comprehensive Collection ◽  
Diagnostic Technology ◽  
Condition Monitoring System ◽  
Internet Of Things Technology ◽  
Line Condition

In order to meet the demand for real-time monitoring of transmission line state in the construction of the smart grid, this paper adopt the transmission line condition monitoring system that is based on the Internet of Things technology, PON technology and the fuzzy expert diagnostic technology; with a large number of experiments and field pilots, we get ideal results. It can get real-time the state of the transmission line and make accurate judgments, which verify the accuracy and implementability of the system; This system has many advantages, such as comprehensive collection of information, stable network, high output accuracy, simple to deploy, and so on.

Online Real-Time Monitoring System Through Using Adaptive Angular-Velocity VKF Order Tracking

2012 ◽  
Author(s):  
Ting-Chi Yeh ◽  
Min-Chun Pan
Keyword(s):  
Angular Velocity ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Theoretical Derivation ◽  
Periodic Loading ◽  
Order Tracking ◽  
Computation Scheme ◽  
Condition Monitoring System ◽  
Operation Status

When rotary machines are running, acousto-mechanical signals acquired from the machines are able to reveal their operation status and machine conditions. Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies are integer (or fractional integer) multiples of the reference shaft speed. In this study we built an online real-time machine condition monitoring system based on the adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF_OT) algorithm, which was implemented through a DSP chip module and a user interface coded by the LabVIEW®. This paper briefly introduces the theoretical derivation and numerical implementation of computation scheme. Experimental works justify the effectiveness of applying the developed online real-time condition monitoring system. They are the detection of startup on the fluid-induced instability, whirl, performed by using a journal-bearing rotor test rig.

On-Board Condition Monitoring System for Freight Trains

2001 ◽  
Author(s):  
John Donelson ◽  
Wayne M. Zavis ◽  
S. K. (John) Punwani ◽  
Monique Ferguson Stewart ◽  
Mark C. Edwards
Keyword(s):  
Research And Development ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Continuous Monitoring ◽  
Operation Efficiency ◽  
International Corporation ◽  
Mechanical Components ◽  
Condition Monitoring System ◽  
Railroad Safety

Abstract Science Applications International Corporation (SAIC) and Wilcoxon Research have developed a real-time on-board condition monitoring system for freight trains. The Office of Research and Development of the Federal Railroad Administration funded the development of the system. The system monitors bearings, wheels, trucks and brakes on freight trains in order to detect equipment defects and derailments. The objectives of the system are to improve railroad safety and operation efficiency through continuous monitoring of mechanical components on freight trains.

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