☆ 4.5 Article

Theoretical and simulation analysis on the spatial resolution of magnetic metal debris sensors

FRONTIERS IN MATERIALS (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Multidisciplinary

Separation of aliasing signals from inductive oil debris monitors based on fully convolutional neural networks

Siwei Chen et al.

Summary: An implementation framework based on fully convolutional neural networks is proposed to separate the superimposed signals in inductive oil debris monitors, improving the accuracy of peak-to-peak value estimation. Physical experiment results demonstrate that the method effectively reduces the error rate of peak-to-peak value.

MEASUREMENT SCIENCE AND TECHNOLOGY (2022)

Add to Collection

Article Engineering, Multidisciplinary

A novel signature extracting approach for inductive oil debris sensors based on symplectic geometry mode decomposition

Bing Yu et al.

Summary: The article introduces a novel signal decomposition method called SGMD for extracting the debris signature, showing its accurate and effective performance. Experimental results demonstrate that combining SGMD and EMD has better decomposition ability than EMD or wavelet decomposition.

MEASUREMENT (2021)

Add to Collection

Article Engineering, Multidisciplinary

Using multi-window correlation to improve sensitivity and adaptability for oil debris detections

Haokuo Liu et al.

Summary: A novel approach based on multiple correlation windows is proposed in this study to improve the sensitivity and adaptability for oil debris detections, and an experiment is conducted to validate that smaller debris can be detected at variable debris velocities using this method.

MEASUREMENT (2021)

Add to Collection

Article Chemistry, Multidisciplinary

An Inductive Debris Sensor for a Large-Diameter Lubricating Oil Circuit Based on a High-Gradient Magnetic Field

Hong Xiao et al.

APPLIED SCIENCES-BASEL (2019)

Add to Collection

Article Engineering, Multidisciplinary

A highly sensitive triple-coil inductive debris sensor based on an effective unbalance compensation circuit

Yi Jun Ren et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2019)

Add to Collection

Proceedings Paper Engineering, Industrial

Aliasing Signal Separation for Superimposition of Inductive Debris Detection Using CNN-Based DUET

Tongyang Li et al.

PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019) (2019)

Add to Collection

Article Chemistry, Analytical

Aliasing Signal Separation of Superimposed Abrasive Debris Based on Degenerate Unmixing Estimation Technique

Tongyang Li et al.

SENSORS (2018)

Add to Collection

Article Engineering, Mechanical

Inductive debris sensor using one energizing coil with multiple sensing coils for sensitivity improvement and high throughput

Yi Jun Ren et al.

TRIBOLOGY INTERNATIONAL (2018)

Add to Collection

Review Engineering, Mechanical

Lubricating oil conditioning sensors for online machine health monitoring - A review

Xiaoliang Zhu et al.

TRIBOLOGY INTERNATIONAL (2017)

Add to Collection

Article Engineering, Chemical

Watershed-Based Morphological Separation of Wear Debris Chains for On-Line Ferrograph Analysis

Hongkun Wu et al.

TRIBOLOGY LETTERS (2014)

Add to Collection

Article Engineering, Mechanical

Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features

Tonghai Wu et al.

WEAR (2014)

Add to Collection

Article Engineering, Multidisciplinary

Radial inductive debris detection sensor and performance analysis

Wei Hong et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2013)

Add to Collection

Article Engineering, Chemical

High Throughput Wear Debris Detection in Lubricants Using a Resonance Frequency Division Multiplexed Sensor

Li Du et al.

TRIBOLOGY LETTERS (2013)

Add to Collection

© Peeref 2019-2024. All rights reserved.