A Method for Estimating the Composition and Size of Wear Debris in Lubricating Oil Based on the Joint Observation of Inductance and Resistance Signals: Theoretical Modeling and Experimental Verification

Zhang, Hongpeng; Ma, Laihao; Shi, Haotian; Xie, Y.Y.; Wang, C.

doi:10.1109/tim.2022.3179490

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…The aluminum shielding layer has high conductivity, that is, its resistivity is small and the eddy current generated is large, which will make the skin effect more significant and the skin depth smaller, resulting in energy loss. For the aluminum shielding layer, it is known that σ = 3.5 × 10 7 (Ω • m) −1 , µ ≈ 1, and calculated according to equation (6), d s ≈ 0.26 mm. In order to avoid the skin effect of external magnetic fields, the thickness of the shielding layer must be much greater than 0.26 mm.…”

Section: Design Of Sensor With the Shielding Layermentioning

confidence: 99%

“…which can be mainly classified into optical [4], ultrasonic [5], electrical impedance [6] and inductive methods. The inductive method has been successfully applied to wind turbine gearboxes [7], aircraft engines [8], and real-time health monitoring of industrial production due to the characteristics of good temperature stability and low cost, compared with other methods.…”

Section: Introductionmentioning

confidence: 99%

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The research on triple-coil inductive debris sensor with electromagnetic shielding

Ren,

Gao,

Wen

et al. 2024

Meas. Sci. Technol.

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A high sensitivity inductive debris sensor is of great significance for oil condition monitoring and the fault diagnosis of mechanical equipment. However, inductive sensors are susceptible to interference from external electromagnetic fields. In this study, an inductive debris sensor with a shielding layer is studied, which can effectively reduce the influence of external magnetic fields on the sensor. Theoretical and experimental results verify the effectiveness of the shielding layer, and also show that the shielding layer impacts the magnetic field of the sensor, resulting in a decrease in the amplitude of the output signal. Detailed analysis was conducted to investigate the effect of structural parameters on the performance of inductive sensors. These parameters include the distance between the shielding layer and the coils, the thickness of the shielding layer, and the shielding layer material. Based on the theoretical and experimental results, reference suggestions are provided for the design of the shielding layer. This study ensures the performance and reliability of inductive sensors in practical applications.

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Section: Design Of Sensor With the Shielding Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The research on triple-coil inductive debris sensor with electromagnetic shielding

Ren,

Gao,

Wen

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…As a result, detection of the characteristic feature in the form of a sine-like pulse is the main task in signal processing of induced voltages [ 7 , 8 , 9 , 10 ]. However, in the actual application, the induced voltages generated by tiny debris passing through the oil channel are extremely weak and would be contaminated by external noise and electric pulses [ 11 , 12 ], thus causing great challenges in target feature identification and extraction.…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction of Lubricating Oil Debris Signal Based on Segmentation Entropy with an Adaptive Threshold

Yang,

Liu,

et al. 2024

Sensors

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Ferromagnetic debris in lubricating oil, serving as an important communication carrier, can effectively reflect the wear condition of mechanical equipment and predict the remaining useful life. In practice application, the detection signals collected by using inductive sensors contain not only debris signals but also noise terms, and weak debris features are prone to be distorted, which makes it a severe challenge to debris signature identification and quantitative estimation. In this paper, a debris signature extraction method established on segmentation entropy with an adaptive threshold was proposed, based on which five identification indicators were investigated to improve detection accuracy. The results of the simulations and oil experiment show that the proposed algorithm can effectively identify wear particles and preserve debris signatures.

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An integrated micromachined flexible ultrasonic-inductive sensor for pipe contaminant multiparameter detection

Yuan,

Wu,

et al. 2024

Microsyst Nanoeng

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Pipe contaminant detection holds considerable importance within various industries, such as the aviation, maritime, medicine, and other pertinent fields. This capability is beneficial for forecasting equipment potential failures, ascertaining operational situations, timely maintenance, and lifespan prediction. However, the majority of existing methods operate offline, and the detectable parameters online are relatively singular. This constraint hampers real-time on-site detection and comprehensive assessments of equipment status. To address these challenges, this paper proposes a sensing method that integrates an ultrasonic unit and an electromagnetic inductive unit for the real-time detection of diverse contaminants and flow rates within a pipeline. The ultrasonic unit comprises a flexible transducer patch fabricated through micromachining technology, which can not only make installation easier but also focus the sound field. Moreover, the sensing unit incorporates three symmetrical solenoid coils. Through a comprehensive analysis of ultrasonic and induction signals, the proposed method can be used to effectively discriminate magnetic metal particles (e.g., iron), nonmagnetic metal particles (e.g., copper), nonmetallic particles (e.g., ceramics), and bubbles. This inclusive categorization encompasses nearly all types of contaminants that may be present in a pipeline. Furthermore, the fluid velocity can be determined through the ultrasonic Doppler frequency shift. The efficacy of the proposed detection principle has been validated by mathematical models and finite element simulations. Various contaminants with diverse velocities were systematically tested within a 14 mm diameter pipe. The experimental results demonstrate that the proposed sensor can effectively detect contaminants within the 0.5−3 mm range, accurately distinguish contaminant types, and measure flow velocity.

show abstract

A Method for Estimating the Composition and Size of Wear Debris in Lubricating Oil Based on the Joint Observation of Inductance and Resistance Signals: Theoretical Modeling and Experimental Verification

Cited by 5 publications

References 22 publications

The research on triple-coil inductive debris sensor with electromagnetic shielding

The research on triple-coil inductive debris sensor with electromagnetic shielding

Feature Extraction of Lubricating Oil Debris Signal Based on Segmentation Entropy with an Adaptive Threshold

An integrated micromachined flexible ultrasonic-inductive sensor for pipe contaminant multiparameter detection

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