Automatic Test System for the Basic Properties of Solar Cells

2012 ◽  
Vol 251 ◽  
pp. 26-30
Author(s):  
Jia Jia Tu ◽  
Guo Wei Liang
Keyword(s):  
Solar Cells ◽  
Real Time ◽  
Natural Environment ◽  
Environmental Conditions ◽  
High Accuracy ◽  
Test System ◽  
Automatic Test System ◽  
Basic Properties ◽  
Different Types ◽  
Accuracy And Repeatability

A solar cells test system that can be used in the natural environment is designed, which can complete a variety of test experiments on different types of solar cells under different environmental conditions. In the testing process, the basic properties of solar cells are given and recorded in real time. Since installed and operated, the system works stable. Experimental results show that the test system has high accuracy and repeatability, and in line with the requirements of solar cells testing.

LXI Precision Time Protocol Applied Research

2013 ◽  
Vol 330 ◽  
pp. 561-564 ◽  
Author(s):  
Ming Li ◽  
Chun Ping Wang ◽  
Zhi Qiang Wang
Keyword(s):  
Real Time ◽  
Applied Research ◽  
Time Synchronization ◽  
Local Area Network ◽  
Local Area ◽  
Test System ◽  
Area Network ◽  
Automatic Test System ◽  
Precision Time ◽  
Precise Time

In order to meet the real-time demands of some equipment networked test, the time synchronization techniques of ATS based traditional instrument buses are compared with the techniques of LXI ATS. Accordingly，the necessity of LXI ATS time synchronization technique study is put forward. The sorts of time synchronization techniques based on Local Area Network are analyzed. In addition, some methods which could improve the level of LXI data real-time communications are presented. Afterwards, technique realizations of PTP are studied in detail. Local Area Network techniques and IEEE 1588 Precise Time Protocol are adopted in the LXI Automatic Test System which designed in the paper, and the level of time synchronization precision in the system is improved.

LXI Precision Time Protocol Applied Research

2013 ◽  
Vol 772 ◽  
pp. 432-435
Author(s):  
Ming Li ◽  
Chun Ping Wang ◽  
Zhi Qiang Wang
Keyword(s):  
Real Time ◽  
Applied Research ◽  
Time Synchronization ◽  
Local Area Network ◽  
Local Area ◽  
Test System ◽  
Area Network ◽  
Automatic Test System ◽  
Precision Time ◽  
Precise Time

In order to meet the real-time demands of some equipment networked test, the time synchronization techniques of ATS based traditional instrument buses are compared with the techniques of LXI ATS. Accordingly,the necessity of LXI ATS time synchronization technique study is put forward. The sorts of time synchronization techniques based on Local Area Network are analyzed. In addition, some methods which could improve the level of LXI data real-time communications are presented. Afterwards, technique realizations of PTP are studied in detail. Local Area Network techniques and IEEE 1588 Precise Time Protocol are adopted in the LXI Automatic Test System which designed in the paper, and the level of time synchronization precision in the system is improved.

Near Real-Time Automated Detection of Small Hazardous Liquid Pipeline Leaks Using Remote Optical Sensing and Machine Learning

2016 ◽  
Author(s):  
Maria S. Araujo ◽  
Shane P. Siebenaler ◽  
Edmond M. Dupont ◽  
Samantha G. Blaisdell ◽  
Daniel S. Davila
Keyword(s):  
Machine Learning ◽  
Crude Oil ◽  
Real Time ◽  
Optical Sensors ◽  
Environmental Conditions ◽  
Detection System ◽  
Leak Detection ◽  
False Alarms ◽  
Different Types ◽  
Pump Stations

The prevailing leak detection systems used today on hazardous liquid pipelines (computational pipeline monitoring) do not have the required sensitivities to detect small leaks smaller than 1% of the nominal flow rate. False alarms of any leak detection system are a major industry concern, as such events will eventually lead to alarms being ignored, rendering the leak detection system ineffective [1]. This paper discusses the recent work focused on the development of an innovative remote sensing technology that is capable of reliably and automatically detecting small hazardous liquid leaks in near real-time. The technology is suitable for airborne applications, including manned and unmanned aircraft, ground applications, as well as stationary applications, such as monitoring of pipeline pump stations. While the focus of the development was primarily for detecting liquid hydrocarbon leaks, the technology also shows promise for detecting gas leaks. The technology fuses inputs from various types of optical sensors and applies machine learning techniques to reliably detect “fingerprints” of small hazardous liquid leaks. The optical sensors used include long-wave infrared, short-wave infrared, hyperspectral, and visual cameras. The utilization of these different imaging approaches raises the possibility for detecting spilled product from a past event even if the leak is not actively progressing. In order to thoroughly characterize leaks, tests were performed by imaging a variety of different types of hazardous liquid constitutions (e.g. crude oil, refined products, crude oil mixed with a variety of common refined products, etc.) in several different environmental conditions (e.g., lighting, temperature, etc.) and on various surfaces (e.g., grass, pavement, gravel, etc.). Tests were also conducted to characterize non-leak events. Focus was given to highly reflective and highly absorbent materials/conditions that are typically found near pipelines. Techniques were developed to extract a variety of features across the several spectral bands to identify unique attributes of different types of hazardous liquid constitutions and environmental conditions as well as non-leak events. The characterization of non-leak events is crucial in significantly reducing false alarm rates. Classifiers were then trained to detect small leaks and reject non-leak events (false alarms), followed by system performance testing. The trial results of this work are discussed in this paper.

scholarly journals Study on a High-Accuracy Real-Time Algorithm to Estimate SOC of Multiple Battery Cells Simultaneously

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yong Luo ◽  
Yingzhe Kan ◽  
Yanli Yin ◽  
Li Liu ◽  
Huanyu Cui ◽  
...  
Keyword(s):  
Real Time ◽  
Estimation Method ◽  
High Accuracy ◽  
Test System ◽  
Open Circuit ◽  
Battery Cell ◽  
Actual Performance ◽  
Polarization Voltage ◽  
Soc Estimation ◽  
Battery Cells

In traditional battery equalization strategy, open-circuit voltage (OCV) of battery cells was used to judge the difference of SOC between them. However, OCV is not only determined by SOC but also influenced by internal resistance, polarization voltage, capacity, and other nonlinear factors. As a result, OCV is not an ideal indicator of SOC differences, especially in transient conditions. In order to control battery consistency accurately, it is best to use SOC directly as standard for battery consistency judgment and control. To achieve this, an algorithm that can estimate SOC of multiple battery cells simultaneously with low computational complexity and high accuracy is needed. Limited by computing speed of Battery Control Unit (BCU), existing SOC estimation method is hard to estimate SOC of each battery cell simultaneously with high accuracy. In this research, a new SOC estimation strategy was proposed to estimate SOC of multiple battery cells simultaneously for battery equalization control. Battery model is established based on experimental data, and a processor-in-the-loop test system was established to verify the actual performance of the proposed algorithm. Results of simulation and test indicate that the proposed algorithm can estimate SOC of multiple battery cells simultaneously and achieved good real-time performance and high accuracy.

The Design of Automatic Test System of High Speed PCM Signals

2011 ◽  
Vol 295-297 ◽  
pp. 738-741
Author(s):  
Shu Jing Su ◽  
Jian Yun Ren ◽  
Su Hua Liu ◽  
Hai Guang Yang
Keyword(s):  
Real Time ◽  
High Speed ◽  
Test System ◽  
The State ◽  
Automatic Test ◽  
Test Function ◽  
Automatic Test System ◽  
The Status ◽  
Self Test

This paper presents an automatic test system which can output one 2Mbit / S PCM signals and one 10.2Mbit / S PCM signals for the device testing; the system wih self-test function could calibrate the output two PCM signals; when the equipment is in the state of testing, you can real-time monitor the status of the device through the PC

The Diagnosis of Lupus Anticoagulants by the Activated Partial Thromboplastin Time - The Central Role of Phosphatidyl Serine

1984 ◽  
Vol 52 (02) ◽  
pp. 172-175 ◽  
Author(s):  
P R Kelsey ◽  
K J Stevenson ◽  
L Poller
Keyword(s):  
Screening Method ◽  
Coagulation Factors ◽  
Phosphatidyl Serine ◽  
Test System ◽  
Specific Factor ◽  
Marginal Effect ◽  
Constant Composition ◽  
Lupus Anticoagulants ◽  
Different Types

SummaryLiposomes of pure phospholipids were used in a modified APTT test system and the role of phosphatidyl serine (PS) in determining the sensitivity of the test system to the presence of lupus anticoagulants was assessed. Six consecutive patients with lupus anticoagulants and seven haemophiliacs with anticoagulants directed at specific coagulation factors, were studied. Increasing the concentration of phospholipid in the test system markedly reduced the sensitivity to lupus anticoagulants but had marginal effect on the specific factor inhibitors. The same effect was achieved when the content of PS alone was increased in a vehicle liposome of constant composition.The results suggest that the lupus anticoagulants can best be detected by a screening method using an APTT test with a reagent of low PS content. The use of a reagent rich in PS will largely abolish the lupus anticoagulant’s effect on the APTT. An approach using the two different types of reagent may facilitate differentiation of lupus inhibitors from other types of anticoagulant.

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

Squeak and rattle noise classification using radial basis function neural networks

2020 ◽  
Vol 68 (4) ◽  
pp. 283-293
Author(s):  
Oleksandr Pogorilyi ◽  
Mohammad Fard ◽  
John Davy ◽  
Mechanical and Automotive Engineering, School ◽  
Mechanical and Automotive Engineering, School ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
High Accuracy ◽  
Training Method ◽  
Vehicle Interior ◽  
Trained Classifier ◽  
Different Types ◽  
Noise Classification ◽  
Automatic Tool ◽  
Multi Class Classification

In this article, an artificial neural network is proposed to classify short audio sequences of squeak and rattle (S&R) noises. The aim of the classification is to see how accurately the trained classifier can recognize different types of S&R sounds. Having a high accuracy model that can recognize audible S&R noises could help to build an automatic tool able to identify unpleasant vehicle interior sounds in a matter of seconds from a short audio recording of the sounds. In this article, the training method of the classifier is proposed, and the results show that the trained model can identify various classes of S&R noises: simple (binary clas- sification) and complex ones (multi class classification).

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