Magnetic Properties of Ferromagnetic Particles under Alternating Magnetic Fields: Focus on Particle Detection Sensor Applications

The electromagnetic wear particles detection sensor has been widely studied due to its ability to monitor the wear status of equipment in real time. To precisely estimate the change of the magnetic energy of the sensor coil caused by the wear particles, the magnetic property models of wear particles under the alternating magnetic field was established. The models consider the hysteresis effect and the eddy current effect of the wear particles. The analysis and experimental results show that with the increase of the effective field frequency, the change of the magnetic energy caused by the wear particles gradually decrease, which makes the induced electromotive force output by the sensor reduce with the decrease of the particle speed, so a signal compensation method is presented to obtain a unified signal when the same wear particle passing through the sensor in different speeds. The magnetic coupling effect between the two adjacent wear particles is analyzed. The result illustrates that the change of the magnetic energy caused by the dual wear particles system is larger than the sum of the energy variation caused by two independent wear particles, and with the increase of the interparticle distance, the magnetic coupling effect gradually weakens and disappears.

[1]  Yong Bo He,et al.  Finite Element Analysis on Multi Parameter Characteristics of Inductive Lubricating Oil Wear Debris Sensor , 2015 .

[2]  Peter Sergeant,et al.  Comparison of Iron Loss Models for Electrical Machines With Different Frequency Domain and Time Domain Methods for Excess Loss Prediction , 2015, IEEE Transactions on Magnetics.

[3]  Ren Guo-quan.  Magnetic characteristic of unferromagnetic wear debris in inductive wear debris sensor , 2010 .

[4]  Shaoping Wang,et al.  Radial inductive debris detection sensor and performance analysis , 2013 .

[5]  Xing Ming Zhang,et al.  Study on Magnetization and Detection the Metal Particle in Harmonic Magnetic Field , 2015 .

[6]  Kangwook Kim,et al.  Planar Spiral Coil Design for a Pulsed Induction Metal Detector to Improve the Sensitivities , 2014, IEEE Antennas and Wireless Propagation Letters.

[7]  Yu Wu,et al.  Determination of metal particles in oil using a microfluidic chip-based inductive sensor , 2016 .

[8]  Jiang Zhe,et al.  Parallel Sensing of Metallic Wear Debris in Lubricants Using Undersampling Data Processing , 2012 .

[9]  John T. Conway,et al.  Exact solutions for the magnetic fields of axisymmetric solenoids and current distributions , 2001 .

[10]  J. L. Miller,et al.  In-line oil debris monitor for aircraft engine condition assessment , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

[11]  N. Dervilis,et al.  Aspects of structural health and condition monitoring of offshore wind turbines , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[12]  Ying Du,et al.  Progress and trend of sensor technology for on-line oil monitoring , 2013 .

[13]  Lalita Udpa,et al.  Monotonicity principle in pulsed eddy current testing and its application to defect sizing , 2017, 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES).

[14]  Jiang Zhe,et al.  A high sensitivity wear debris sensor using ferrite cores for online oil condition monitoring , 2017 .

[15]  Ming Liang,et al.  Enhancement of oil debris sensor capability by reliable debris signature extraction via wavelet domain target and interference signal tracking , 2013 .

[16]  Manoj Kumar,et al.  Advancement and current status of wear debris analysis for machine condition monitoring: a review , 2013 .

[17]  Li Du,et al.  Instrumentation circuitry for an inductive wear debris sensor , 2012, 10th IEEE International NEWCAS Conference.

[18]  F. Choy,et al.  Real-time monitoring of wear debris in lubrication oil using a microfluidic inductive Coulter counting device , 2010 .

[19]  Jiang Zhe,et al.  Improving sensitivity of an inductive pulse sensor for detection of metallic wear debris in lubricants using parallel LC resonance method , 2013 .

[20]  Ren Guo-quan.  Study on Magnetic Characteristic of Ferromagnetic Wear Debris in Inductive Wear Debris Sensor , 2009 .

[21]  Ming Liang,et al.  Enhancement of oil particle sensor capability via resonance-based signal decomposition and fractional calculus , 2015 .

[22]  Eneko Gorritxategi,et al.  Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils , 2017, Sensors.