The key points of inductive wear debris sensor

Han, Lei; Hong, Wei; Wang, Shaoping

doi:10.1109/fpm.2011.6045873

Cited by 14 publications

(9 citation statements)

References 21 publications

(22 reference statements)

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“…The main contaminant is water pollution, the main water contaminants measurements are the capacitance measurement [78][79], impedance measurement [80][81], and the transfer of the material is mainly reflected in the wear of materials. For wear measurements, in recent years the development of photoelectric sensors [82], photoelectric and magnetic sensors [83], mixed image and magnetic sensors [84](as shown in Fig 5.), induction sensor [85], sensors based on capacitance and impedance [86], sensors based on the energy principle [87], sensors based on ultrasonic principle [88]. [84] In view of the development of the on-line condition monitoring sensor technology for lubricating oil, in addition to sensors of the physical and chemical properties of the lubricating oil and the sensors of wear debris, the sensors is also including such as Infrared (IR) and Fourier transform infrared (FTIR) spectrometry [89]、 XRF (X-ray fluorescence ) sensors [90] 、 Photo-acoustic spectroscopy (PAS) [91] 、 Fluorescence spectroscopy [92] etc..…”

Section: Oil Analysismentioning

confidence: 99%

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Duan

Guo

et al. 2018

Int J Adv Manuf Technol

162

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A rolling bearing is an essential component of a rotating mechanical transmission system. Its performance and quality directly affects the life and reliability of machinery. Bearings' performance and reliability need high requirements because of a more complex and poor working conditions of bearings. A bearing with high reliability reduces equipment operation accidents, equipment maintenance costs and achieves condition-based maintenance. First in this paper, the development of technology of the main individual physical condition monitoring and fault diagnosis of rolling bearings are introduced, then the fault diagnosis technology of multi-sensors information fusion is introduced, finally the advantages, disadvantages and trends developed in the future of the detection main individual physics technology and multi-sensors information fusion technology are summarized. This paper is expected to provide the necessary basis for the follow-up study of the fault diagnosis of rolling bearings and a foundational knowledge for researchers about rolling bearings.

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Section: Oil Analysismentioning

confidence: 99%

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Duan

Guo

et al. 2018

Int J Adv Manuf Technol

162

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“…A variety of sensors exist today for continuous condition monitoring of different oil parameters, and the majority of particle measuring sensors are based on a magnetic or optical measurement principle [6]. Magnetic sensors enable distinction between ferrous and non-ferrous particles [7], and currently exhibit a lower particle size detection limit of around 20 sans-serifμnormalm, depending on sensor design [6]. Optical particle counters (OPCs) based on light extinction are widely used within the industry today, and has been available for use in industrial applications since the 1970s [8].…”

Section: Introductionmentioning

confidence: 99%

Model of a Light Extinction Sensor for Assessing Wear Particle Distribution in a Lubricated Oil System

Krogsøe

Henneberg²,

Eriksen

2018

Sensors

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Light extinction based optical wear particle counters (OPCs) have been widely used in the industry for oil condition monitoring for several years, and while experiments have tested the benefits and drawbacks of the measurement principle, limited research has been conducted regarding a theoretical approach to evaluate opportunities and limitations of the measurement scheme. In this paper, we present a method for theoretically modelling the output of an OPC based on the light extinction principle in the regime of geometrical optics, with a special focus on the influence of sensor optical design, particle concentration and measurement noise. Moreover, we show that, if only signal amplitude is considered, an algorithm for evaluating sensor output can cause an erroneous assessment of particle contamination level.

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“…Regarding the measurement principles, there are two predominant technologies for in-line wear debris sensors: magnetic or inductive detectors and photonic detectors [16,17]. While the magnetic or inductive solutions offer a very good performance for high flow rates, allowing them to monitor large fluid volumes in real time, they suffer some drawbacks in terms of resolution and minimum detectable particle size, and they are affected by electrical noise and vibrations [18].…”

Section: Introductionmentioning

confidence: 99%

Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils

Mabe

Zubía

Gorritxategi³

2017

Sensors

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The presence of microscopic particles in suspension in industrial fluids is often an early warning of latent or imminent failures in the equipment or processes where they are being used. This manuscript describes work undertaken to integrate different photonic principles with a micro- mechanical fluidic structure and an embedded processor to develop a fully autonomous wear debris sensor for in-line monitoring of industrial fluids. Lens-less microscopy, stroboscopic illumination, a CMOS imager and embedded machine vision technologies have been merged to develop a sensor solution that is able to detect and quantify the number and size of micrometric particles suspended in a continuous flow of a fluid. A laboratory test-bench has been arranged for setting up the configuration of the optical components targeting a static oil sample and then a sensor prototype has been developed for migrating the measurement principles to real conditions in terms of operating pressure and flow rate of the oil. Imaging performance is quantified using micro calibrated samples, as well as by measuring real used lubricated oils. Sampling a large fluid volume with a decent 2D spatial resolution, this photonic micro sensor offers a powerful tool at very low cost and compacted size for in-line wear debris monitoring.

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The key points of inductive wear debris sensor

Cited by 14 publications

References 21 publications

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review

Model of a Light Extinction Sensor for Assessing Wear Particle Distribution in a Lubricated Oil System

Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils

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