An auxiliary source-based near field source localization method with sensor position error

Zhang, Qi; Li, Weihua; Yang, Bin; Li, Si

doi:10.1016/j.sigpro.2023.109039

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…Most studies suggest methods to analyze or eliminate the causes of the sensor position errors [21][22][23][24][25][26][27][28][29][30][31]. Research has also been conducted to improve technology for analyzing wear particles.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis for Appropriate Positioning of Ferrous Wear Debris Sensors with Permanent Magnet in Gearbox Systems

Hong

2024

Sensors

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In order to improve the measurement sensitivity of ferrous wear debris sensors with a permanent magnet, a new numerical approach to the appropriate position of the sensor is presented. Moreover, a flow guide wall is proposed as a way to concentrate flow around the ferrous particle sensors. The flow guide wall is intended to further improve measurement sensitivity by allowing the flow containing ferrous particles to flow around the sensor. Numerical analysis was performed using the multi-physics analysis method for the most representative gearbox of the sump-tank type. In condition diagnosis using ferrous wear debris sensors, the position of the sensor has a great influence. In other words, there are cases where no measurements occur, despite the presence of abnormal wear and damage due to the wrong sensor position. To determine the optimal sensor position, this study used flow analysis for the flow caused by the movement of the gear, electric and magnetic field analysis to implement the sensor, and a particle tracing technique to track particle trajectory. The new analysis method and results of this study will provide important information for selecting the optimal sensor location and for the effective application of ferrous wear debris sensors, and will contribute to the oil sensor-based condition diagnosis technology.

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Section: Introductionmentioning

confidence: 99%

Numerical Analysis for Appropriate Positioning of Ferrous Wear Debris Sensors with Permanent Magnet in Gearbox Systems

Hong

2024

Sensors

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“… 1 , 2 . In this context, localization algorithms, based on the distance between the source and the antenna array, can be developed in two areas, the near-field and far-field 3 , 4 . If the source is in the far-field, i.e., Fraunhofer region, the electromagnetic wavefront can be modeled as a planar wave 5 .…”

Section: Introductionmentioning

confidence: 99%

“…Hence, the first simplification of the exact model is simplifying its phase term to a second-order Taylor polynomial known as the Fresnel approximation 33 . The Fresnel approximation will cause errors in the localization of the source in real scenarios 3 , 31 , 33 . The second simplification is ignoring the amplitude factor in the exact model.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic informed data model considerations for near-field DOA and range estimates

Ebadi,

Molaei,

Abbasi

et al. 2024

Sci Rep

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Localizing sources in the near-field is one of the emerging challenges for array signal processing, which has received a great deal of attention in recent years. The development of accurate localization algorithms requires the definition of a reliable model of the received signal that takes into account all wavefront characteristics, such as angle, range, and polarization, as well as electromagnetic effects, such as mutual coupling between antennas and the amplitude and phase behaviour of electromagnetic wavefronts. A system model that considers the electromagnetic-informed wave behaviour effects, independent of the type of receiver antennas, array structure, degree of correlation of sources signals and other electromagnetic effects, is considered an “ exact model ” in the literature. However, due to the mathematical complexity of this modeling approach, simplifications using several approximations are conventionally used. For instance, the phase of the exact model is approximated using the Fresnel approximation, while the magnitude of the exact model is simplified by assuming equal distances between the source and all elements in the array. In this work, we evaluate the accuracy of a localization algorithm, the multiple signal classification (MUSIC), using the exact and approximated models in the near-field region. Through a series of simulations, we demonstrate that the localization algorithm designed based on the electromagnetic-informed exact model outperforms the one designed using the approximated model. We also show that considering electromagnetic factors in the system model through the exact model results in a 13% improvement in the direction of arrival (DOA) root mean square error (RMSE) and a 57.7% improvement in range RMSE at signal-to-noise ratio (SNR) of 15 dB.

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A Near-Field Interference Recognition Method Based on Split Beam

Zhou,

Yao,

et al. 2023

2023 6th International Conference on Information Communication and Signal Processing (ICICSP)

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An auxiliary source-based near field source localization method with sensor position error

Cited by 6 publications

References 38 publications

Numerical Analysis for Appropriate Positioning of Ferrous Wear Debris Sensors with Permanent Magnet in Gearbox Systems

Numerical Analysis for Appropriate Positioning of Ferrous Wear Debris Sensors with Permanent Magnet in Gearbox Systems

Electromagnetic informed data model considerations for near-field DOA and range estimates

A Near-Field Interference Recognition Method Based on Split Beam

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