Intelligent prediction of wear location and mechanism using image identification based on improved Faster R-CNN model

Research on financing efficiency and influencing factors of equipment manufacturing industry——Regression model based on SFA panel data

(2021) Qian Wang et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Experimental analysis on tribo-performance of aluminum composites

(2020) Santanu Sardar et al.   JOURNAL OF COMPOSITE MATERIALS

An improved target detection method based on multiscale features fusion

(2020) Liping Lu et al.   MICROWAVE AND OPTICAL TECHNOLOGY LETTERS

Automated assessment of gear wear mechanism and severity using mould images and convolutional neural networks

(2020) Haichuan Chang et al.   TRIBOLOGY INTERNATIONAL

Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach

(2020) Osmar Luiz Ferreira de Carvalho et al.   Remote Sensing

Machine learning based anomaly detection and classification of acoustic emission events for wear monitoring in sliding bearing systems

(2020) F. König et al.   TRIBOLOGY INTERNATIONAL

Automatic Wear Measurement of Pantograph Slider Based on Multiview Analysis

(2020) Shengfang Lu et al.   IEEE Transactions on Industrial Informatics

Wear particle classification considering particle overlapping

(2019) Peng Peng et al.   WEAR

On the origins of third-body particle formation during adhesive wear

(2019) Ramin Aghababaei   WEAR

Use of acoustic emission and cutting force signals to monitor built-up edge formation in stainless steel turning

(2019) Yassmin Seid Ahmed et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool wear monitoring in milling of titanium alloy Ti–6Al–4 V under MQL conditions based on a new tool wear categorization method

(2019) Meng Hu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Experimental Investigation on Two-Body Abrasion of Cast Aluminum–Alumina Composites: Influence of Abrasive Size and Reinforcement Content

(2019) Santanu Sardar et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

Tool wear monitoring using an online, automatic and low cost system based on local texture

(2018) María Teresa García-Ordás et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A non-reference evaluation method for edge detection of wear particles in ferrograph images

(2018) Jingqiu Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Behavior of acoustic emissions at the onset of sliding friction

(2018) Hiroo Taura et al.   TRIBOLOGY INTERNATIONAL

Surface roughness monitoring by singular spectrum analysis of vibration signals

(2017) E. García Plaza et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Neural network approach for automatic image analysis of cutting edge wear

(2017) T. Mikołajczyk et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Ferrographic analysis of pivot jewel bearing in oil-bath lubrication

(2017) Xingjian Dai et al.   WEAR

An oil monitoring method of wear evaluation for engine hot tests

(2016) Bin Fan et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

An automatic system based on vibratory analysis for cutting tool wear monitoring

(2016) Wafaa Rmili et al.   MEASUREMENT

Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis

(2015) Myeongsu Kang et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Quantifying abrasion and micro-pits in polymer wear using image processing techniques

(2014) Seyfollah Soleimani et al.   WEAR