scholarly journals Research and Discussion on Combine Harvester Cleaning Loss Detection Technology

2015 ◽  
Keyword(s):  
Detection Technology ◽  
Combine Harvester

On-line image readout in CTEM

1994 ◽  
Vol 52 ◽  
pp. 400-401
Author(s):  
K.-H. Herrmann ◽  
W. D. Rau ◽  
R. Sikeler
Keyword(s):  
Primary Electron ◽  
Digital Information ◽  
Electron Hole ◽  
Detection Technology ◽  
Long Time ◽  
On Line ◽  
Electron Image ◽  
Optical Transfer ◽  
Detection Quantum Efficiency ◽  
Technical Solutions

Quantitative recording of electron patterns and their rapid conversion into digital information is an outstanding goal which the photoplate fails to solve satisfactorily. For a long time, LLL-TV cameras have been used for EM adjustment but due to their inferior pixel number they were never a real alternative to the photoplate. This situation has changed with the availability of scientific grade slow-scan charged coupled devices (CCD) with pixel numbers exceeding 106, photometric accuracy and, by Peltier cooling, both excellent storage and noise figures previously inaccessible in image detection technology. Again the electron image is converted into a photon image fed to the CCD by some light optical transfer link. Subsequently, some technical solutions are discussed using the detection quantum efficiency (DQE), resolution, pixel number and exposure range as figures of merit.A key quantity is the number of electron-hole pairs released in the CCD sensor by a single primary electron (PE) which can be estimated from the energy deposit ΔE in the scintillator,

Assessment of different ti-rads systems using computer-aided detection technology

2019 ◽  
Author(s):  
Kuen-Yuan Chen ◽  
Ming-Hsun Wu ◽  
Chiung-Nien Chen ◽  
Argon Chen
Keyword(s):  
Computer Aided Detection ◽  
Detection Technology ◽  
Computer Aided

Study on Defect Detection Technology for Bridge Deck Pavements

2017 ◽  
Vol 19 (6) ◽  
pp. 38
Author(s):  
Chengchao Guo ◽  
Pengfei Xu ◽  
Can Cui
Keyword(s):  
Defect Detection ◽  
Bridge Deck ◽  
Detection Technology

INFLUENCE OF THE LOCATION OF THE BASEBOARD JUMPER FOR FIRMWARE FOR DEFECT FORMATION IN CHAIN DRIVE SPROCKET FORGING

2020 ◽  
Author(s):  
I.A. Tserna ◽  
◽  
V.V. Bukhov ◽  
Keyword(s):  
Computer Simulation ◽  
Defect Formation ◽  
Chain Drive ◽  
Combine Harvester

The paper presents the results of computer simulation of the process of de-formationforged chain wheels, combine harvester; the influence of the placement of the jumper outline for firmware on the processes of defect formation in forging.

New Defect Detection Technology for Tissue Industry

2014 ◽  
Vol 68 (3) ◽  
pp. 311-313
Author(s):  
Jason Zyglis ◽  
Wayne Killmer ◽  
Atsushi Kurosaki
Keyword(s):  
Defect Detection ◽  
Detection Technology

Performance of two combine harvester header in soybean crops

2020 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
E. M. Samogim ◽  
T. C. Oliveira ◽  
Z. N. Figueiredo ◽  
J. M. B. Vanini
Keyword(s):  
Experimental Design ◽  
Crop Yield ◽  
Field Performance ◽  
Travel Speed ◽  
The Other ◽  
Combine Data ◽  
Mato Grosso ◽  
Tukey Test ◽  
Combine Harvester ◽  
And Performance

The combine harvest for soybean crops market are currently available two types of combine with header or platform, one of conventional with revolving reel with metal or plastic teeth to cause the cut crop to fall into the auger header and the other called "draper" headers that use a fabric or rubber apron instead of a cross auger, there are few test about performance of this combine header for soybean in Mato Grosso State. The aim of this work was to evaluate the soybean harvesting quantitative losses and performance using two types combine header in four travel speed. The experiment was conducted during soybean crops season 2014/15, the farm Tamboril in the municipality of Pontes e Lacerda, State of Mato Grosso. The was used the experimental design of randomized blocks, evaluating four forward harvesting speeds (4 km h-1, 5 km h-1, 6 km h-1 and 7 km h-1), the natural crops losses were analyzed, loss caused by the combine harvester (combine header, internal mechanisms and total losses) and was also estimated the  field performance of each combine. Data were submitted to analysis of variance by F test and compared of the average by Tukey test at 5% probability. The results show the draper header presents a smaller amount of total loss and in most crop yield when compared with the conventional cross auger.

Load state on-line detection technology based on dynamic potential judgment

2013 ◽  
Vol 26 (7) ◽  
pp. 610-615
Author(s):  
Hongkui Liu ◽  
Zheng Xiang ◽  
Huiguo Luo
Keyword(s):  
Line Detection ◽  
Detection Technology ◽  
Dynamic Potential ◽  
On Line ◽  
Load State
Sign in / Sign up

Export Citation Format

Share Document