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Danang Cahyagi, Tianqi Zhao, Qingbo Zhang, Hongsheng Zhang
Abstract
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Research on abrasive particle target detection and feature extraction for marine lubricating oil
10.3390/jmse12040677 · 2024
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2022
Wear particle classification considering particle overlapping
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Ferrographic wear particle identification of marine lubricating oil based on YOLO v5s and attention mechanism
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Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features
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Watershed-based morphological separation of wear debris chains for On-Line ferrograph analysis
10.1007/s11249-013-0280-1 · 2014
Intelligent prediction of wear location and mechanism using image identification based on improved Faster R-CNN model
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Online monitoring of oil wear debris image based on CNN
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A microfluidic device for three-dimensional wear debris imaging in online condition monitoring
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Morphological feature extraction based on multiview images for wear debris analysis in On-line fluid monitoring
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Integrated model of BP neural network and CNN algorithm for automatic wear debris classification
10.1016/j.wear.2018.12.087 · 2019
Real-time ferrogram segmentation of wear debris using multi-level feature reused unet
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A hybrid convolutional neural network for intelligent wear particle classification
10.1016/j.triboint.2019.05.029 · 2019
WP-DRnet: a novel wear particle detection and recognition network for automatic ferrograph image analysis
10.1016/j.triboint.2020.106379 · 2020
FECNN: a promising model for wear particle recognition
10.1016/j.wear.2019.202968 · 2019
Probability-weighted ensemble support vector machine for intelligent recognition of moving wear debris from joint implant
10.1016/j.triboint.2023.108583 · 2023
Unsupervised segmentation of wear particle's image using local texture feature
10.1108/ilt-09-2017-0275 · 2018
Online wear characterisation of rolling element bearing using wear particle morphological features
10.1016/j.wear.2019.05.005 · 2019
Description of wear debris from On-Line ferrograph images by their statistical color
10.1080/10402004.2012.686086 · 2012
Dimensional description of on-line wear debris images for wear characterization
10.3901/cjme.2014.0808.132 · 2014
Oxidation wear monitoring based on the color extraction of on-line wear debris
10.1016/j.wear.2014.12.047 · 2015
Binarization method for On-Line ferrograph image based on Uniform Curvelet transformation
2018
Wear particle chain segmentation based on the nearest neighbor method
2019
A wear debris segmentation method for direct reflection online visual ferrography
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A hybrid search-tree discriminant technique for multivariate wear debris classification
10.1016/j.wear.2017.09.022 · 2017
Motion-blurred particle image restoration for On-Line wear monitoring
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An oil wear particles inline optical sensor based on motion characteristics for rotating machines condition monitoring
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Oil debris and viscosity monitoring using optical measurement based on Response Surface Methodology
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Oil debris and viscosity monitoring using optical measurement based on Response Surface Methodology
10.1016/j.measurement.2022.111152 · doi-reference
An oil wear particles inline optical sensor based on motion characteristics for rotating machines condition monitoring
10.3390/machines10090727 · doi-reference
Motion-blurred particle image restoration for On-Line wear monitoring
10.3390/s150408173 · doi-reference
A hybrid search-tree discriminant technique for multivariate wear debris classification
10.1016/j.wear.2017.09.022 · doi-reference
A wear debris segmentation method for direct reflection online visual ferrography
10.3390/s19030723 · doi-reference
Oxidation wear monitoring based on the color extraction of on-line wear debris
10.1016/j.wear.2014.12.047 · doi-reference
Dimensional description of on-line wear debris images for wear characterization
10.3901/cjme.2014.0808.132 · doi-reference
Description of wear debris from On-Line ferrograph images by their statistical color
10.1080/10402004.2012.686086 · doi-reference
Online wear characterisation of rolling element bearing using wear particle morphological features
10.1016/j.wear.2019.05.005 · doi-reference
Unsupervised segmentation of wear particle's image using local texture feature
10.1108/ilt-09-2017-0275 · doi-reference
Probability-weighted ensemble support vector machine for intelligent recognition of moving wear debris from joint implant
10.1016/j.triboint.2023.108583 · doi-reference
FECNN: a promising model for wear particle recognition
10.1016/j.wear.2019.202968 · doi-reference
WP-DRnet: a novel wear particle detection and recognition network for automatic ferrograph image analysis
10.1016/j.triboint.2020.106379 · doi-reference
A hybrid convolutional neural network for intelligent wear particle classification
10.1016/j.triboint.2019.05.029 · doi-reference
Real-time ferrogram segmentation of wear debris using multi-level feature reused unet
10.3390/s24082444 · doi-reference
Integrated model of BP neural network and CNN algorithm for automatic wear debris classification
10.1016/j.wear.2018.12.087 · doi-reference
Morphological feature extraction based on multiview images for wear debris analysis in On-line fluid monitoring
10.1080/10402004.2016.1174325 · doi-reference
A microfluidic device for three-dimensional wear debris imaging in online condition monitoring
10.1177/1350650116684707 · doi-reference
Intelligent prediction of wear location and mechanism using image identification based on improved Faster R-CNN model
10.1016/j.triboint.2022.107466 · doi-reference
Watershed-based morphological separation of wear debris chains for On-Line ferrograph analysis
10.1007/s11249-013-0280-1 · doi-reference
Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features
10.1016/j.wear.2014.04.014 · doi-reference
A lubricating oil condition monitoring system based on wear particle kinematic analysis in microfluid for intelligent aeroengine
10.3390/mi12070748 · doi-reference
Wear particle classification considering particle overlapping
10.1016/j.wear.2019.01.060 · doi-reference
An object detection network for wear debris recognition in ferrography images
10.1007/s40430-022-03375-4 · doi-reference
Research on abrasive particle target detection and feature extraction for marine lubricating oil
10.3390/jmse12040677 · doi-reference