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The Optimization of Parallel Resonance Circuit for Wear Debris Detection by Adjusting Capacitance

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  • Zhijian Liu

    (College of Marine Engineering, Dalian Maritime University, Dalian 116026, China)

  • Sen Wu

    (Research Institute, Xuzhou Construction Machinery Group Co., Ltd., Xuzhou 221004, China)

  • Mahmud Kamal Raihan

    (Department of Mechanical Engineering, Clemson University, Clemson, SC 29634-0921, USA)

  • Diyu Zhu

    (College of Marine Engineering, Dalian Maritime University, Dalian 116026, China)

  • Kezhen Yu

    (College of Marine Engineering, Dalian Maritime University, Dalian 116026, China)

  • Feng Wang

    (College of Marine Engineering, Dalian Maritime University, Dalian 116026, China)

  • Xinxiang Pan

    (College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
    College of electronic and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, China)

Abstract

Wear debris in lubrication oil provides important information for marine engine condition monitoring and faults diagnosis. Inductive sensors have been widely used to detect wear debris in lubrication oil. To improve the sensitivity, the inductive coil is always connected with a capacitor in parallel to form parallel LC resonance-sensing circuit. A previous study optimized the parallel resonance circuit by adjusting the excitation frequency. However, multiple parameters (namely, excitation signal, signal detection circuits, and signal-processing program, etc.) need to be adjusted accordingly for a series of the testing frequencies. To simplify the optimization, we propose a method based on adjusting the parallel capacitance in this work. The impedance (inductance and internal resistance) of the sensing coil and its variation induced by particles are first measured, which are the necessary parameters for establishing the function relationship between the parallel capacitance and the relative impedance variation. With the function relationship, the relative impedance variation is calculated directly, and the optimal capacitance is located at the highest absolute value of it. The experimental results for the ferrous and nonferrous particles match the calculation results well. Interestingly, the optimal capacitance for the nonferrous particle was larger than that of the ferrous particle. We speculate that the difference is generated due to the increased resistance induced by the eddy current effect.

Suggested Citation

  • Zhijian Liu & Sen Wu & Mahmud Kamal Raihan & Diyu Zhu & Kezhen Yu & Feng Wang & Xinxiang Pan, 2022. "The Optimization of Parallel Resonance Circuit for Wear Debris Detection by Adjusting Capacitance," Energies, MDPI, vol. 15(19), pages 1-15, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7318-:d:934002
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    References listed on IDEAS

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    1. Ziping Wang & Xian Xue & He Yin & Zhengxuan Jiang & Yefei Li, 2018. "Research Progress on Monitoring and Separating Suspension Particles for Lubricating Oil," Complexity, Hindawi, vol. 2018, pages 1-9, June.
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