scholarly journals Accurate Detection Method of Aviation Bearing Based on Local Characteristics

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1069
Author(s):  
Xue ◽  
Jiang ◽  
Wang ◽  
He
Keyword(s):  
Detection Method ◽  
Circle Fitting ◽  
Lubricating Grease ◽  
Symmetrical Structure ◽  
Ball Size ◽  
Local Characteristics ◽  
Accurate Detection ◽  
Fitting Algorithm ◽  
Bearing Ball ◽  
Spatial Limitation

Aviation bearing assembled detection is the final barrier to quality and safety. Therefore, an accurate detection method of aviation bearing that is based on local characteristics is designed to solve the detection problem of mis-assembly and miss-assembly of balls in aviation bearing assembled. When considering the spatial limitation of aviation bearing assembled image acquisition, the dynamic distribution of balls and the interference of lubricating grease on the surface, a dynamic local ball segmentation model that is based on U-Net network with symmetrical structure is designed to achieve the accurate segmentation of the local ball region of aviation bearing. Subsequently, an incomplete circle fitting algorithm is designed based on the segmented local ball image and Hough transform principle. These two algorithms make the measurement error of aviation bearing ball size less than 100 μm. Using bearings validates the algorithm. The results show that the accuracy of dynamic local ball segmentation model that is based on U-Net network with symmetrical structure is over 99%. At the same time, on the basis of accurate segmentation in aviation bearing local ball, the designed Hough circle algorithm is used for circle detection. The experimental results show that the false detection rate of mis-assembly and miss-assembly of balls is less than 3%. Further, the goal of zero-missed detection of mis-assembly and miss-assembly of balls in aviation bearing is achieved. The accurate segmentation of aviation bearing local ball and the effective identification of mis-assembly and miss-assembly of balls are realized. This method can provide a theory for the improvement of mis-assembly and miss-assembly of balls detection in aviation bearing. Furthermore, it has high application value.

Accurate detection method of voltage traveling waves based on frequency division inversion

2021 ◽  
Vol 131 ◽  
pp. 107037
Author(s):  
Zewen Li ◽  
Lizhi Mu ◽  
Yanhui Xi ◽  
Yixiang Xia ◽  
Jiran Zhu ◽  
...  
Keyword(s):  
Traveling Waves ◽  
Detection Method ◽  
Frequency Division ◽  
Accurate Detection

Target-controlled gating liposome “off–on” cascade amplification for sensitive and accurate detection of phospholipase D in breast cancer cells with a low-background signal

2016 ◽  
Vol 52 (70) ◽  
pp. 10660-10663 ◽  
Author(s):  
Qingwang Xue ◽  
Wei Jiang ◽  
Lei Wang
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Phospholipase D ◽  
Breast Cancer Cells ◽  
Detection Method ◽  
Background Signal ◽  
Low Background ◽  
Accurate Detection ◽  
Cascade Amplification

Here we developed a simple, sensitive and accurate PLD detection method based on a target-controlled gating liposome (TCGL) “off–on” cascade amplified strategy and personal glucose meters (PGMs).

scholarly journals A High Precision Laser-Based Autofocus Method Using Biased Image Plane for Microscopy

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Chao-Chen Gu ◽  
Hao Cheng ◽  
Kai-Jie Wu ◽  
Liang-Jun Zhang ◽  
Xin-Ping Guan
Keyword(s):  
Laser Beam ◽  
High Precision ◽  
Low Cost ◽  
Image Plane ◽  
Circle Fitting ◽  
Essential Factor ◽  
Assembly Accuracy ◽  
Fitting Algorithm ◽  
Experiment Device ◽  
Study Designs

This study designs and accomplishes a high precision and robust laser-based autofocusing system, in which a biased image plane is applied. In accordance to the designed optics, a cluster-based circle fitting algorithm is proposed to calculate the radius of the detecting spot from the reflected laser beam as an essential factor to obtain the defocus value. The experiment conduct on the experiment device achieved novel performance of high precision and robustness. Furthermore, the low demand of assembly accuracy makes the proposed method a low-cost and realizable solution for autofocusing technique.

Accurate detection method of voltage traveling-wave-based on waveform inversion

2020 ◽  
Vol 178 ◽  
pp. 106033
Author(s):  
Zewen Li ◽  
Jiajia Lv ◽  
Yanhui Xi ◽  
Yi Xiong ◽  
Zining He ◽  
...  
Keyword(s):  
Traveling Wave ◽  
Detection Method ◽  
Waveform Inversion ◽  
Accurate Detection

The Application of High Throughput Microarrays in the Screening Active Ingredients of Traditional Chinese Medicine

2014 ◽  
Vol 998-999 ◽  
pp. 346-349
Author(s):  
Qing Shan Liu ◽  
Wei Wei Zhang ◽  
Xu Li ◽  
Shu Juan Zhuang ◽  
Xiao Ying Yin
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
High Throughput ◽  
Detection Method ◽  
Active Ingredients ◽  
Chinese Medicines ◽  
Accurate Detection ◽  
And Control ◽  
Research Tools

The accurate detection of traditional Chinese medicine is significant for diagnosis, treatment and control for disease. There is an urgent need for the development of a rapid, simple, and accurate detection method. The high throughput microarray is recommended for use in all researches including those involving rare samples and expensive reagents. Due to the complexity of Chinese medicines interference and multi-target, multi-component, the advantages that sensitivity, reproducibility, and specificity of high-throughput microarrays make it become one of the effective research tools.

Washing Method, an Accurate Detection Method of Urinary Nanocrystallites to Eliminate Interference of Soluble Components in Urine

2013 ◽  
Vol 781-784 ◽  
pp. 932-935
Author(s):  
Yun Feng Shang ◽  
Li Kuan ◽  
Wen Yu Zhu ◽  
Jian Ming Ouyang
Keyword(s):  
Uric Acid ◽  
Detection Method ◽  
X Ray ◽  
Accurate Detection ◽  
Stone Formers ◽  
Significant Difference ◽  
Washing Method ◽  
Ft Ir ◽  
Main Components ◽  
Soluble Components

Using X-ray power diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR), the chemical composition of urinary nanocrystallites from 3 calcium phosphate (CaP) stone-formers were investigated and compared with that from healthy subjects. The main components of nanocrystallites in urine of CaP stone formers were uric acid and CaP, while that in healthy urine was mainly uric acid, which indicated a significant difference. This study purposed an accurate detection method of urinary nanocrystallites, namely washing the urinary crystallites samples with double distilled water, which can avoid the interference of soluble components (such as NaCl, uric acid, and urea) that were precipitated from urine during sample preparation.

Automatic Calibration Method for Mounting Position of Protein Crystal Mounting Robot Based on Visual Positioning

2020 ◽  
Author(s):  
Jiangping Qin ◽  
Zhaolong Li ◽  
Bo Sun ◽  
Feng Yu ◽  
Yi Liu ◽  
...  
Keyword(s):  
Calibration Method ◽  
Image Features ◽  
Protein Crystal ◽  
External Parameter ◽  
Automatic Calibration ◽  
Relationship Matrix ◽  
Laser Sensor ◽  
Circle Fitting ◽  
Visual Positioning ◽  
Fitting Algorithm

Abstract With the popularization of automounting robots in protein crystal diffraction experiment beamline stations, the coordinate calibration of the robot sample mounting position has become an inevitable task in the daily maintenance of the beamline station. In this method, the image features of the laser sensor spot and goniometer are extracted by color extraction and edge detection, respectively, and the noise is eliminated by median filtering. Then, after locating the pixel coordinates of the center of the circle through the Hough circle detection and the minimum closed circle fitting algorithm, the coordinates in the base coordinate system are obtained using the camera internal and external parameter matrices and the hand-eye relationship matrix. Finally, according to the deviation of the laser spot and the visual positioning coordinate of the goniometer, the position of the robot is compensated to improve the positioning accuracy, and the automatic calibration of the sample point is realized.

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