scholarly journals Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

Micromachines ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 440 ◽  
Author(s):  
Liankun Liu ◽  
Liang Chen ◽  
Saijie Wang ◽  
Yi Yin ◽  
Dazhuang Liu ◽  
...  
Keyword(s):  
Wear Debris ◽  
Detection Sensitivity ◽  
High Tech ◽  
Magnetic Powder ◽  
Research Papers ◽  
Inductive Sensor ◽  
Novel Method ◽  
Pass Through ◽  
The Magnetic Field ◽  
Inductive Signal

The inductive detection of wear debris in lubrication oil is an effective method to monitor the machine status. As the wear debris is usually micro scale, a micro inductive sensor is always used to detect them in research papers or high-tech products. However, the improvement of detection sensitivity for micro inductive sensors is still a great challenge, especially for early wear debris of 20 μm or smaller diameter. This paper proposes a novel method to improve the detection sensitivity of a micro inductive sensor. Regarding the magnetic powder surrounding the sensor, the magnetic field in the core of the sensor where the wear debris pass through would be enhanced due to the increased relative permeability. Thus, the inductive signal would be improved and the detection sensitivity would be increased. It is found that the inductive signal would linearly increase with increasing the concentration of the magnetic powder and this enhancement would also be effective for wear debris of different sizes. In addition, the detection limit of the micro inductive sensor used in our experiment could be extended to 11 μm wear debris by the proposed method.

scholarly journals A Novel Impedance Micro-Sensor for Metal Debris Monitoring of Hydraulic Oil

Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 150
Author(s):  
Hongpeng Zhang ◽  
Haotian Shi ◽  
Wei Li ◽  
Laihao Ma ◽  
Xupeng Zhao ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Wear Debris ◽  
Detection Method ◽  
Silicon Steel ◽  
Detection Sensitivity ◽  
Normal Operation ◽  
Metal Debris ◽  
Hydraulic Oil ◽  
Steel Strips ◽  
The Magnetic Field

Hydraulic oil is the key medium for the normal operation of hydraulic machinery, which carries various wear debris. The information reflected by the wear debris can be used to predict the early failure of equipment and achieve predictive maintenance. In order to realize the real-time condition monitoring of hydraulic oil, an impedance debris sensor that can detect inductance and resistance parameters is designed and studied in this paper. The material and size of wear debris can be discriminated based on inductance-resistance detection method. Silicon steel strips and two rectangular channels are designed in the sensor. The silicon steel strips are used to enhance the magnetic field strength, and the double rectangular detection channels can make full use of the magnetic field distribution region, thereby improving the detection sensitivity and throughput of the sensor. The comparison experiment shows that the coils in series are more suitable for the monitoring of wear debris. By comparing and analyzing the direction and the presence or absence of the signal pulses, the debris sensor can detect and distinguish 46 µm iron particles and 110 µm copper particles. This impedance detection method provides a new technical support for the high-precision distinguishing measurement of metal debris. The sensor can not only be used for oil detection in the laboratory, but also can be made into portable oil detection device for machinery health monitoring.

scholarly journals Improving the Detection Ability of Inductive Micro-Sensor for Non-Ferromagnetic Wear Debris

Micromachines ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1108
Author(s):  
Man Wang ◽  
Haotian Shi ◽  
Hongpeng Zhang ◽  
Dian Huo ◽  
Yucai Xie ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Steel Strip ◽  
Excitation Frequency ◽  
Signal Amplitude ◽  
Ferromagnetic Metal ◽  
Detection Sensitivity ◽  
Metal Debris ◽  
Detection Ability ◽  
Inductive Sensor ◽  
The Magnetic Field

The inductive debris sensor has been studied because of its wide application prospects in mechanical health monitoring. In order to ensure a high-precision detection performance, a comprehensive method to improve the detection sensitivity and detection ability of the inductive sensor for non-ferromagnetic metal debris is proposed. Based on the characteristics of the eddy current inside the metal, the change of the coil impedance caused by the metal debris is increased by enhancing the magnetic field strength and selecting the optimal excitation frequency. The impedance detection method involving inductance and resistance parameters is used to improve the detection limit of non-ferromagnetic metal debris. The experimental results verify that the magnetic field in the detection region can be enhanced by adding a silicon steel strip (paramagnetic material) in the central hole of the coil, thereby greatly improving the detection sensitivity of the inductive sensor, and the concentrated distribution of the magnetic field avoids the double-peak signals generated by a single particle. The characteristics of the signal amplitude of non-ferromagnetic debris with excitation frequency are studied. Higher inductance, resistance amplitudes, and signal-to-noise ratio (SNR) can be obtained by using a high-frequency alternating current. Compared with inductance parameter detection, resistance parameter detection can detect smaller non-ferromagnetic debris. Combining the detection results of the inductance and resistance parameters can effectively improve the sensor’s ability to detect non-ferromagnetic debris.

scholarly journals The Effects of Position on the Wear Debris Detection with Planar Inductor

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4961
Author(s):  
Yi Yin ◽  
Zhijian Liu ◽  
Jie Zheng ◽  
Liang Chen ◽  
Sen Wu ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Wear Debris ◽  
Detection System ◽  
Vertical Direction ◽  
Signal Amplitude ◽  
Experimental Results ◽  
Magnetic Intensity ◽  
Simulation Results ◽  
Pass Through ◽  
Inductive Signal

Wear debris detection is an effective method to determine the running state of the machine. Recently, the planar inductor is commonly used to detect wear debris. The previous studies have found that the inductive signal would be varied while changing the position of wear debris pass through. However, the effect of position on the wear debris detection is not well understood. In this paper, a novel detection system in which the position of wear debris pass through could be adjusted precisely is designed. By changing the position in horizontal or vertical direction, the inductive signals of the wear debris were acquired. In the horizontal direction, the experimental results show that the amplitude of the inductive signal first increases and then decreases when the position changes from the center of the planar inductor to the outer. The maximum inductive signal appears when the wear debris pass through the edge of the inner coil, which is 20% higher than that for the center and much higher than that for the edge of outer coil. In the vertical direction, the signal decreases almost linearly when the position is away from the planar inductor. For every 0.1 mm step far away the planar inductor, the signal amplitude drops by approximately 10%. The variation trend of our experimental results is consistent with the numerical simulation results of magnetic intensity around the planar inductor.

scholarly journals Direct visualization of virus removal process in hollow fiber membrane using an optical microscope

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Miku Ayano ◽  
Yoshiyuki Sawamura ◽  
Tomoko Hongo-Hirasaki ◽  
Takayuki Nishizaka
Keyword(s):  
Hollow Fiber ◽  
Hollow Fiber Membrane ◽  
Imaging Techniques ◽  
Basic Research ◽  
Optical Microscope ◽  
Regenerated Cellulose ◽  
Fiber Membrane ◽  
Virus Removal ◽  
Novel Method ◽  
Pass Through

AbstractVirus removal filters developed for the decontamination of small viruses from biotherapeutic products are widely used in basic research and critical step for drug production due to their long-established quality and robust performance. A variety of imaging techniques have been employed to elucidate the mechanism(s) by which viruses are effectively captured by filter membranes, but they are limited to ‘static’ imaging. Here, we propose a novel method for detailed monitoring of ‘dynamic process’ of virus capture; specifically, direct examination of biomolecules during filtration under an ultra-stable optical microscope. Samples were fluorescently labeled and infused into a single hollow fiber membrane comprising cuprammonium regenerated-cellulose (Planova 20N). While proteins were able to pass through the membrane, virus-like particles (VLP) accumulated stably in a defined region of the membrane. After injecting the small amount of sample into the fiber membrane, the real-time process of trapping VLP in the membrane was quantified beyond the diffraction limit. The method presented here serves as a preliminary basis for determining optimum filtration conditions, and provides new insights into the structure of novel fiber membranes.

Design of Plane Magnetic Field Image Drawing System Based on PLC Motion Control

2014 ◽  
Vol 525 ◽  
pp. 282-286
Author(s):  
Jia Xin You ◽  
Hui Min Liang ◽  
Kun Zhang ◽  
Guo Fu Zhai
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Motion Control ◽  
Fem Simulation ◽  
Servo Control ◽  
Programmable Logic ◽  
Magnetic Powder ◽  
Fem Model ◽  
Drawing System ◽  
The Magnetic Field

The image of magnetic field is traditionally obtained by spreading magnetic powder manually or by sparse arrays of magnetic needles, obtaining the images of the magnetic field in different permanent magnet shapes and do repeated tests on the permanent magnet are in need. Based on programmable logic controller (PLC) motion control, the servo control and mechanical system have been built, the control strategy is discussed and the software is programmed. 2D FEM model of a test permanent magnet bar is built. Compared with the FEM simulation results, the system has achieved the goal that spreading magnetic powder quickly and evenly in the appointed area.

The Shape of Analytical Curves in Zeeman Atomic Absorption Spectroscopy. II. Theoretical Analysis and Experimental Evidence for Absorption Maximum in the Analytical Curve

1980 ◽  
Vol 34 (4) ◽  
pp. 464-472 ◽  
Author(s):  
M. T. C. De Loos-Vollebregt ◽  
L. de Galan
Keyword(s):  
Magnetic Field ◽  
Magnetic Fields ◽  
Atomic Absorption ◽  
Absorption Spectroscopy ◽  
Atomic Absorption Spectroscopy ◽  
Stray Light ◽  
Strong Nonlinearity ◽  
Analytical Curve ◽  
Pass Through ◽  
The Magnetic Field

The analysis of the shape of analytical curves in Zeeman atomic absorption spectroscopy has been extended toward higher concentrations. Nonlinearity in the conventional atomic absorption signal due to stray light or nonlinear electronic response causes both theoretically calculated and experimental analytical curves in Zeeman atomic absorption to go through a maximum at a certain concentration. The height and the position of the maximum depend on the magnetic system used, the strength of the magnetic field and the amount of nonlinearity. In all magnetic systems the maximum attainable absorbance is enhanced by increasing the magnetic field strength and decreasing the amount of nonlinearity. Over the normal concentration range a maximum in the Zeeman atomic absorption analytical curve only occurs under the extreme conditions of a very weak magnetic field and strong nonlinearity. Ultimately, however, all Zeeman atomic absorption analytical curves pass through a maximum unless the optics and electronics are perfect. For practical systems strong ac modulated magnetic fields are to be preferred over dc magnetic fields.

A Novel Application of Vehicle Security by Infrared Camera and Coating Technology

2011 ◽  
Vol 396-398 ◽  
pp. 981-987
Author(s):  
Jen Yu Shieh ◽  
Ji Sheng Hsieh ◽  
Chih Ming Lin ◽  
Yueh Hsun Lee
Keyword(s):  
Wireless Communication ◽  
Incident Light ◽  
Infrared Camera ◽  
Infrared Light ◽  
Dark Condition ◽  
Coating Technology ◽  
Infrared Photography ◽  
Novel Method ◽  
Vehicle Security ◽  
Pass Through

In the paper, a novel method is proposed for application of vehicle security by infrared camera and coating technology. In this Vehicle Security System (VSS), the traditional mirror is coated on the surface with special material by multi-layers, then, an infrared camera is placed behind the mirror on the bottom of device. In order to obtain the image, a wireless communication is integrated on this system. Therefore, the user can easily inspect the object under the vehicle. By using this infrared photography, it provides completely imaging for the total dark condition, to examine the under-vehicle area of an object or explosives. Experiments show that the proposed device reflected 80% of visible light and penetrated 20% of incident light, about 96% infrared light pass through the mirror.

scholarly journals An algorithm for IoT based vehicle verification system using RFID

2019 ◽  
Vol 9 (5) ◽  
pp. 3751
Author(s):  
Alen Joseph Samuel ◽  
Shoney Sebastian
Keyword(s):  
Motor Vehicle ◽  
Rfid Technology ◽  
The Road ◽  
Verification System ◽  
On The Road ◽  
Verification Process ◽  
Pass Through ◽  
The Magnetic Field ◽  
Day By Day

The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process.  In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods.

An Improvement on Deep Time Growing Neural Network on Biological Signals: Review

2018 ◽  
Vol 8 (5) ◽  
pp. 21
Author(s):  
Manpreet Kaur ◽  
Jashanpreet Kaur
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Research Papers ◽  
Efficient Manner ◽  
Deep Time ◽  
Novel Method ◽  
Cyclic Time ◽  
Stochastic Time Series ◽  
Stochastic Time ◽  
Multiple Class

A novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN combines supervised and unsupervised methods in different levels of learning for an enhanced performance. It was employed by a multiscale learning structure to classify cyclic time series (CTS), in which the dynamic contents of the time series are preserved in an efficient manner. This paper suggests a systematic procedure for finding the design parameter of the classification method for a one versus-multiple class application. In this paper different authors research papers are reviewed and different problems are stored and now these problems are resolved.

An Adaptive △M-ICCP Geomagnetic Matching Algorithm

2017 ◽  
Vol 71 (3) ◽  
pp. 649-663 ◽  
Author(s):  
Jing Xiao ◽  
Xiusheng Duan ◽  
Xiaohui Qi
Keyword(s):  
Magnetic Field ◽  
Dynamic Environment ◽  
Magnetic Sensor ◽  
Matching Method ◽  
Simulation Experiments ◽  
Matching Algorithm ◽  
Contour Point ◽  
Novel Method ◽  
The Magnetic Field ◽  
Selection Of

In this paper, a novel method is proposed to generate the matching sequence of an ICCP algorithm for aircraft geomagnetic-aided navigation based on the M coding principle. The length of the matching sequence and the selection of the matching points directly affects the performance of the Iterated Closest Contour Point (ICCP) algorithm. This study proposes an adaptive geomagnetic matching method, ΔM-ICCP, to solve the problem of selecting suitable matching lengths, and matching points, when a vehicle is moving in a highly dynamic environment. First, the △M coding principle is adopted to select the matching points based on the information of the magnetic field, the resolution of the magnetic map, and the accuracy of the magnetic sensor. Then, the problem of selecting parameters for the △M-ICCP algorithm is turned into an optimisation problem, which can be solved by a Binary Particle Swarm Optimisation (BPSO) algorithm. Finally, the algorithm is verified through simulation experiments. The proposed algorithm can provide a basis to determine the matching length of the △M-ICCP algorithm and adaptively adjust the algorithm's parameters according to different trajectories. The algorithm is applicable even in the areas where the fluctuations of Earth's magnetic field are not significant.

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