scholarly journals Differential Structure of Inductive Proximity Sensor

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2210 ◽  
Author(s):  
Yi-Xin Guo ◽  
Cong Lai ◽  
Zhi-Biao Shao ◽  
Kai-Liang Xu ◽  
Ting Li
Keyword(s):  
Process Control ◽  
Measurement Method ◽  
Maintenance Cost ◽  
Detection Accuracy ◽  
Temperature Drift ◽  
Proximity Sensor ◽  
Differential Structure ◽  
Position Detection ◽  
Look Up Table ◽  
Rf Energy

The inductive proximity sensor (IPS) is applicable to displacement measurements in the aviation field due to its non-mechanical contact, safety, and durability. IPS can increase reliability of position detection and decrease maintenance cost of the system effectively in aircraft applications. Nevertheless, the specialty in the aviation field proposes many restrictions and requirements on the application of IPS, including the temperature drift effect of the resistance component of the IPS sensing coil. Moreover, reliability requirements of aircrafts restrict the use of computational-intensive algorithms and avoid the use of process control components. Furthermore, the environment of airborne electronic equipment restricts measurements driven by large current and proposes strict requirements on emission tests of radio frequency (RF) energy. For these reasons, a differential structured IPS measurement method is proposed in this paper. This measurement method inherits the numerical separation of the resistance and inductance components of the IPS sensing coil to improve the temperature adaptation of the IPS. The computational complexity is decreased by combining the dimension-reduced look-up table method to prevent the use of process control components. The proposed differential structured IPS is equipped with a differential structure of distant and nearby sensing coils to increase the detection accuracy. The small electric current pulse excitation decreases the RF energy emission. Verification results demonstrate that the differential structured IPS realizes the numerical decoupling calculation of the vector impedance of the sensing coil by using 61 look-up table units. The measuring sensitivity increased from 135.5 least significant bits (LSB)/0.10 mm of a single-sensing-coil structured IPS to 1201.4 LSB/0.10 mm, and the linear approximation distance error decreased from 99.376 μm to −3.240 μm. The proposed differential structured IPS method has evident comparative advantages compared with similar measuring techniques.

scholarly journals The nanofluidic confinement apparatus: studying confinement-dependent nanoparticle behavior and diffusion

2018 ◽  
Vol 9 ◽  
pp. 301-310 ◽  
Author(s):  
Stefan Fringes ◽  
Felix Holzner ◽  
Armin W Knoll
Keyword(s):  
Polymer Surface ◽  
Diffusion Constant ◽  
Numerical Aperture ◽  
Lateral Diffusion ◽  
Vertical Position ◽  
Detection Accuracy ◽  
Illumination Time ◽  
Electroviscous Effect ◽  
Position Detection ◽  
Hydrodynamic Effects

The behavior of nanoparticles under nanofluidic confinement depends strongly on their distance to the confining walls; however, a measurement in which the gap distance is varied is challenging. Here, we present a versatile setup for investigating the behavior of nanoparticles as a function of the gap distance, which is controlled to the nanometer. The setup is designed as an open system that operates with a small amount of dispersion of ≈20 μL, permits the use of coated and patterned samples and allows high-numerical-aperture microscopy access. Using the tool, we measure the vertical position (termed height) and the lateral diffusion of 60 nm, charged, Au nanospheres as a function of confinement between a glass surface and a polymer surface. Interferometric scattering detection provides an effective particle illumination time of less than 30 μs, which results in lateral and vertical position detection accuracy ≈10 nm for diffusing particles. We found the height of the particles to be consistently above that of the gap center, corresponding to a higher charge on the polymer substrate. In terms of diffusion, we found a strong monotonic decay of the diffusion constant with decreasing gap distance. This result cannot be explained by hydrodynamic effects, including the asymmetric vertical position of the particles in the gap. Instead we attribute it to an electroviscous effect. For strong confinement of less than 120 nm gap distance, we detect the onset of subdiffusion, which can be correlated to the motion of the particles along high-gap-distance paths.

The Disturbance of Inductive Proximity Sensor for Mobile Robot

2014 ◽  
Vol 1079-1080 ◽  
pp. 909-912 ◽  
Author(s):  
Tsing Tshih Tsung ◽  
Thi Khanh Tang ◽  
Nguyen Hoai
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Ferrous Metal ◽  
Sheet Thickness ◽  
Negative Effects ◽  
Proximity Sensor ◽  
Position Detection ◽  
Set Up ◽  
Metal Tape

Non-contactingproximity sensors are widely promoted for position detection through determiningthe distance between sensor and object. Besides, the usage of non-contactinginductive proximity sensors for object detections such as finding non-ferrousand ferrous metal tape is the popular technique in mobile robots. Most of thetechnology uses simple HF- oscillation principle as an inductive proximitysensor (IPS) with a decrease in the quality of the oscillator circuit’selectromagnetic to find the tape. By applying this technique, the externalfactors may cause negative effects to systemperformance. To overcome this situation, we set up a hand measurement withinductive proximity sensors and two tapes, meanwhile main tape and disturbingtape are separated by an obstruction sheet. After measuring, dataresults are used to analyze the influence of the obstruction sheet thickness anddisturbance tape to the noise in received signals. The research isthe fundament for further applications, based on inductive proximity sensor formobile robot that could be more robust against noises and disturbances.

scholarly journals Dimension-Reduced Analog—Digital Mixed Measurement Method of Inductive Proximity Sensor

Sensors ◽  
2017 ◽  
Vol 17 (7) ◽  
pp. 1533 ◽  
Author(s):  
Yi-Xin Guo ◽  
Zhi-Biao Shao ◽  
Hui-Bin Tao ◽  
Kai-Liang Xu ◽  
Ting Li
Keyword(s):  
Measurement Method ◽  
Proximity Sensor

Textile Processing Anomaly Detection Based on Time Domain Features and GA-SVM

2015 ◽  
Vol 740 ◽  
pp. 706-713
Author(s):  
Jian Guo Yang ◽  
Lan Xu ◽  
Zhi Jun Lu ◽  
Qian Xiang ◽  
Bin Liu ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Process Control ◽  
Anomaly Detection ◽  
Control Chart ◽  
Time Domain ◽  
Control Charts ◽  
Detection Accuracy ◽  
Textile Processing ◽  
Statistical Process ◽  
Control Chart Pattern

Demands of automatic recognition of abnormal patterns in control charts have been increasing nowadays in manufacturing process. Control chart pattern recognition is an important statistical process control tool used to determine whether a process is run in its intended range or not and eliminate the potential attribution factors as far as possible according to the abnormal condition shown in the control chart. This paper uses the time domain features as input vector and genetic algorithm to obtain the optimal parameters of SVM in a self-adapted manner. Design anomaly detection model for dynamic process is made to realize control chart pattern recognition under the complex condition. The experimental results show that the proposed approach method has higher detection accuracy and stronger generalization ability than other methods, so it is more suitable for quality control in production field.

Position detection accuracy of a novel linac-mounted intrafractional x-ray imaging system

2011 ◽  
Vol 39 (1) ◽  
pp. 109-118 ◽  
Author(s):  
Martin F. Fast ◽  
Andreas Krauss ◽  
Uwe Oelfke ◽  
Simeon Nill
Keyword(s):  
Imaging System ◽  
Detection Accuracy ◽  
X Ray ◽  
Position Detection ◽  
X Ray Imaging

Product Quality Control Based on Medium Logic

2011 ◽  
Vol 130-134 ◽  
pp. 2470-2475
Author(s):  
Wei Dong Huang ◽  
Yin Mao Liu ◽  
Mei Rong Wu
Keyword(s):  
Computer Simulation ◽  
Quality Control ◽  
Process Control ◽  
Product Quality ◽  
Quality Index ◽  
Measurement Method ◽  
Quality Characteristics ◽  
Product Quality Control ◽  
Quality Detection ◽  
Index Variation

Focusing on representation of quality characteristics variation in product process control, a measurement method based on medium logic was established. Representation model of quality detection index variation in process control was put forward, and fuzziness measurement of quality detection index was improved. Tack monitoring and maintenance of production line were researched by analyzing the variation of product quality index with disturbance. Furthermore, computer simulation was carried out by which influence of controllable variables on product quality with disturbance was analyzed and by which the efficiency of model built above was supported.

scholarly journals Improvement of Position Detection Accuracy Utilizing the Antenna Directivity of the Position Detector for Capsule Endoscope

2021 ◽  
Vol 29 (2) ◽  
pp. 212-218
Author(s):  
Ryoken MASUDA ◽  
Ryoga YUZAWA ◽  
Mitsuhide SATO ◽  
Tsutomu MIZUNO ◽  
Kunihisa TASHIRO ◽  
...  
Keyword(s):  
Detection Accuracy ◽  
Capsule Endoscope ◽  
Position Detection ◽  
Antenna Directivity

scholarly journals An Analog-Digital Mixed Measurement Method of Inductive Proximity Sensor

Sensors ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 30 ◽  
Author(s):  
Yi-Xin Guo ◽  
Zhi-Biao Shao ◽  
Ting Li
Keyword(s):  
Measurement Method ◽  
Proximity Sensor
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