
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
On-line tool wear monitoring under variable milling conditions based on a condition-adaptive hidden semi-Markov model (CAHSMM)
Shichao Yan, Liang Sui, Siqi Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110644-110644
Closed Access | Times Cited: 26
Shichao Yan, Liang Sui, Siqi Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110644-110644
Closed Access | Times Cited: 26
Showing 1-25 of 26 citing articles:
Intelligent monitoring system for production lines in smart factories: A hybrid method integrating Transformer and Kalman filter
Xuzhou Fang, Qinghua Song, Zhenyang Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 27-47
Closed Access | Times Cited: 2
Xuzhou Fang, Qinghua Song, Zhenyang Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 27-47
Closed Access | Times Cited: 2
An online monitoring method of milling cutter wear condition driven by digital twin
Xintian Zi, Shangshang Gao, Yang Xie
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Xintian Zi, Shangshang Gao, Yang Xie
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
A milling tool wear predicting method with processing generalization capability
Mingjian Sun, Yunlong Han, Kai Guo, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 975-1001
Closed Access | Times Cited: 12
Mingjian Sun, Yunlong Han, Kai Guo, et al.
Journal of Manufacturing Processes (2024) Vol. 120, pp. 975-1001
Closed Access | Times Cited: 12
A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 9
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 9
Chatter prediction for parallel mirror milling of thin-walled parts by dual-robot collaborative machining system
Ruoqi Wang, Yuwen Sun
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102715-102715
Closed Access | Times Cited: 5
Ruoqi Wang, Yuwen Sun
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102715-102715
Closed Access | Times Cited: 5
MS-DenseNet-GRU tool wear prediction method based on attention mechanism
Yaonan Cheng, Jing Xue, Mengda Lu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 4
Yaonan Cheng, Jing Xue, Mengda Lu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 4
Tool wear monitoring strategy during micro-milling of TC4 alloy based on a fusion model of recursive feature elimination-bayesian optimization-extreme gradient boosting
Hongfei Wang, Qingshun Bai, Jianduo Zhang, et al.
Journal of Materials Research and Technology (2024) Vol. 31, pp. 398-411
Open Access | Times Cited: 3
Hongfei Wang, Qingshun Bai, Jianduo Zhang, et al.
Journal of Materials Research and Technology (2024) Vol. 31, pp. 398-411
Open Access | Times Cited: 3
Investigation on a chatter detection method based on meta learning for machining multiple types of workpieces
Haiyong Sun, Hongyu Jin, Yue Zhuo, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1815-1832
Closed Access | Times Cited: 3
Haiyong Sun, Hongyu Jin, Yue Zhuo, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1815-1832
Closed Access | Times Cited: 3
A multi-sensor monitoring methodology for grinding wheel wear evaluation based on INFO-SVM
Linlin Wan, Zejun Chen, Xianyang Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111003-111003
Closed Access | Times Cited: 7
Linlin Wan, Zejun Chen, Xianyang Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111003-111003
Closed Access | Times Cited: 7
A data-driven method for prediction of surface roughness with consideration of milling tool wear
Zhao Zhang, Long Jia, Ming Luo, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 9-10, pp. 4271-4282
Closed Access | Times Cited: 2
Zhao Zhang, Long Jia, Ming Luo, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 134, Iss. 9-10, pp. 4271-4282
Closed Access | Times Cited: 2
Mechanism Analysis and Prediction of Bull-Nose Cutter Wear in Multi-axis Milling of Ti6Al4V with TiAlN Coated Inserts
Yanjie Du, Yuwen Sun
Wear (2024), pp. 205580-205580
Closed Access | Times Cited: 2
Yanjie Du, Yuwen Sun
Wear (2024), pp. 205580-205580
Closed Access | Times Cited: 2
Research on multi-source information fusion tool wear monitoring based on MKW-GPR model
Ruitao Peng, Zelin Xiao, Yuanyuan Peng, et al.
Measurement (2024), pp. 116055-116055
Closed Access | Times Cited: 2
Ruitao Peng, Zelin Xiao, Yuanyuan Peng, et al.
Measurement (2024), pp. 116055-116055
Closed Access | Times Cited: 2
Online chatter detection via lightweight deep learning framework with efficient signal pre-processing
Hexiang Zhou, Zhou-Long Li, Liyuan Pan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111882-111882
Closed Access | Times Cited: 1
Hexiang Zhou, Zhou-Long Li, Liyuan Pan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111882-111882
Closed Access | Times Cited: 1
A lightweight hybrid model-based condition monitoring method for grinding wheels using acoustic emission signals
Fan Xu, Jianwei Wu, D.P. Hong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016145-016145
Closed Access | Times Cited: 1
Fan Xu, Jianwei Wu, D.P. Hong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016145-016145
Closed Access | Times Cited: 1
Machine remaining useful life prediction method based on global-local attention compensation network
Zhixiang Chen
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110652-110652
Closed Access | Times Cited: 1
Zhixiang Chen
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110652-110652
Closed Access | Times Cited: 1
Milling surface roughness monitoring using real-time tool wear data
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
International Journal of Mechanical Sciences (2024) Vol. 285, pp. 109821-109821
Closed Access | Times Cited: 1
Runqiong Wang, Qinghua Song, Yezhen Peng, et al.
International Journal of Mechanical Sciences (2024) Vol. 285, pp. 109821-109821
Closed Access | Times Cited: 1
A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1
A method for remaining useful life prediction of milling cutter using multi-scale spatial data feature visualization and domain separation prediction network
Qiang Liu, Jiaqi Liu, Xianli Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112251-112251
Closed Access | Times Cited: 1
Qiang Liu, Jiaqi Liu, Xianli Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112251-112251
Closed Access | Times Cited: 1
A lightweight transformer and depthwise separable convolution model for remaining useful life prediction of turbofan engines
Rongzhang Li, Hongfei Zhan, Junhe Yu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025020-025020
Closed Access | Times Cited: 3
Rongzhang Li, Hongfei Zhan, Junhe Yu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025020-025020
Closed Access | Times Cited: 3
A new method for tool wear monitoring based on small sample size
Bo Qin, Kuo Liu, Lei Song, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 9-10, pp. 4541-4551
Closed Access | Times Cited: 2
Bo Qin, Kuo Liu, Lei Song, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 129, Iss. 9-10, pp. 4541-4551
Closed Access | Times Cited: 2
Remaining Useful Life Prediction of IIoT Equipment Using Hidden Semi-Markov Model With Hyper-Erlang Sojourn Time
Xin Li, Chaoqun Duan, Jing Cai, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31010-31027
Closed Access
Xin Li, Chaoqun Duan, Jing Cai, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31010-31027
Closed Access
Study on formation of exit edge defects in the milling process by using the combined theory of the energy conservation and orthogonal cutting mechanism
Zi Yang, Qiang Guo, Zhixi Zheng, et al.
Precision Engineering (2024) Vol. 89, pp. 135-149
Closed Access
Zi Yang, Qiang Guo, Zhixi Zheng, et al.
Precision Engineering (2024) Vol. 89, pp. 135-149
Closed Access
Pre-Compensation Strategy for Tracking Error and Contour Error by Using Friction and Cross-Coupled Control
Minghao Liu, Yongmin Zhu, Hongliang Xu, et al.
Machines (2024) Vol. 12, Iss. 9, pp. 593-593
Open Access
Minghao Liu, Yongmin Zhu, Hongliang Xu, et al.
Machines (2024) Vol. 12, Iss. 9, pp. 593-593
Open Access
Characterizing the tool wear morphologies and life in milling A520-10%SiC under various lubrication and cutting conditions
Masoud Saberi, Seyed Ali Niknam, Ramin Hashemi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Masoud Saberi, Seyed Ali Niknam, Ramin Hashemi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A Review of Intelligentization System and Architecture for Ultra-Precision Machining Process
Minghua Pan, Guoqing Zhang, Wenqi Zhang, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2754-2754
Open Access
Minghua Pan, Guoqing Zhang, Wenqi Zhang, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2754-2754
Open Access