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Xianhui Yin
Institution:
Qingdao University
Observed institutions:
Qingdao University,
Tianjin University,
Shandong University of Science and Technology
ORCID:
0000-0002-9302-7098
Observed ORCID:
0000-0002-9302-7098
OpenAlex ID:
A5064890983
An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction
2019
·
Cheng-Geng Huang
, Xianhui Yin
, et al.
·
IEEE Transactions on Reliability
·
109
Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process
2020
·
Xianhui Yin
, Zhanwen Niu
, et al.
·
Advanced Engineering Informatics
·
78
A deep learning process anomaly detection approach with representative latent features for low discriminative and insufficient abnormal data
2022
·
Yuan Gao
, Xianhui Yin
, et al.
·
Computers & Industrial Engineering
·
42
An integrated computational intelligence technique based operating parameters optimization scheme for quality improvement oriented process-manufacturing system
2020
·
Xianhui Yin
, Zhanwen Niu
, et al.
·
Computers & Industrial Engineering
·
33
A hybrid intelligent optimization approach to improving quality for serial multistage and multi-response coal preparation production systems
2018
·
Xianhui Yin
, Zhen He
, et al.
·
Journal of Manufacturing Systems
·
30
Interpretable and spatio-distributed settlement related multimode process monitoring for Metro tunnels excavated by TBM
2025
·
Xianhui Yin
, Zhaoqun Mu
, et al.
·
Advanced Engineering Informatics
·
13
Causality enhanced deep learning framework for quality characteristic prediction via long sequence multivariate time-series data
2025
·
Qing’an Cui
, Jiao Lu
, et al.
·
Measurement Science and Technology
·
13
Multi-Objective Optimization of Forth Flotation Process: An Application in Gold Ore
2021
·
Wen Zhang
, Qinghe Yuan
, et al.
·
Sustainability
·
10
PDF
A quality propagation path and implementation resolution-aware bidirectional operational parameter optimization framework for multistage manufacturing processes
2025
·
Xianhui Yin
, Yizhen Chen
, et al.
·
Computers & Industrial Engineering
·
6
An intelligent and multi-channel deep feature enhanced framework for predicting difficult-to-measure CTQ
2022
·
Xueqing Wang
, Xianhui Yin
, et al.
·
Computers & Industrial Engineering
·
6
A new approach for the capability analysis based on measurement system analysis: a case study for coal quality detection equipment
2016
·
Qinghe Yuan
, Xianhui Yin
, et al.
·
International Journal of Applied Decision Sciences
·
3
Causality-Aware Spatiotemporal Graph Learning Enhanced Anomaly Detection in Shield Excavation Process via Settlement-Related Operating Parameters
2026
·
Zhaoqun Mu
, Xianhui Yin
, et al.
·
IEEE Transactions on Reliability
·
2
March 2016 - P7 - A New Approach of Controlling Medium Consumption with Applications in Coal Mining Industry
2016
·
Qinghe Yuan
, Xianhui Yin
, et al.
·
International Journal of Performability Engineering
·
2
Physics-constrained digital twin for virtual measurement generation and few-shot bearing fault characterization
2026
·
Kuoyi Lin
, Sihan Li
, et al.
·
Measurement
·
1
Hierarchical Causality Graph Informed Quality Soft Sensing for Multirate Multistage Manufacturing Processes
2026
·
Qingan Cui
, Jiao Lu
, et al.
·
Quality and Reliability Engineering International
·
1
Robust Parameter Design for Cyclone System Based on Dual-Response Surface Method and Multiobjective Genetic Algorithm
2022
·
Fusheng Luo
, Xianhui Yin
, et al.
·
Computational Intelligence and Neuroscience
PDF
A Study of the Ratio of Components of Mixing Material of Dense Medium Cyclone Based on Multi-objective Mixture Design
2016
·
Qinghe Yuan
, Xianhui Yin
, et al.
分離株の分離同定と分解特性を研究した。【jst・京大機械翻訳】
2016
·
Cheng Zhang
, Xiaomao Wu
, et al.
·
Yingyong Shengtai Xuebao
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Works count:
18
Citation count:
348
H-index:
8
I10-index:
8
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