Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network
出版年份 2020 全文链接
标题
Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network
作者
关键词
Shield tunneling machine, Automatic load prediction, Hybrid deep neural network, Cutterhead torque, Input dimension reduction, Prediction performance
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 151, Issue -, Pages 107386
出版商
Elsevier BV
发表日期
2020-11-13
DOI
10.1016/j.ymssp.2020.107386
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- A high-precision arrhythmia classification method based on dual fully connected neural network
- (2020) Haoren Wang et al. Biomedical Signal Processing and Control
- Applications of machine learning to machine fault diagnosis: A review and roadmap
- (2020) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Evolving Fuzzy Models for Prosthetic Hand Myoelectric-Based Control
- (2020) Radu-Emil Precup et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Coupled modeling and dynamic characteristics of TBM cutterhead system under uncertain factors
- (2020) Junzhou Huo et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Recurrent-neural-network-based unscented Kalman filter for estimating and compensating the random drift of MEMS gyroscopes in real time
- (2020) Dinghua Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Prediction of geological conditions for a tunnel boring machine using big operational data
- (2019) Qianli Zhang et al. AUTOMATION IN CONSTRUCTION
- A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine
- (2019) Maolin Shi et al. KNOWLEDGE-BASED SYSTEMS
- Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme
- (2019) Wennian Yu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine
- (2019) Maolin Shi et al. KNOWLEDGE-BASED SYSTEMS
- A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis
- (2019) Xueguan Song et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of rock mass classification systems for performance estimation of rock TBMs using regression tree and artificial intelligence algorithms
- (2019) Alireza Salimi et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Pose and trajectory control of shield tunneling machine in complicated stratum
- (2018) Lintao Wang et al. AUTOMATION IN CONSTRUCTION
- Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data
- (2018) Wei Sun et al. AUTOMATION IN CONSTRUCTION
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction
- (2018) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Empirical modeling for predicting excavation performance of EPB TBM based on soil properties
- (2018) Emre Avunduk et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Estimation of the cutterhead torque for earth pressure balance TBM under mixed-face conditions
- (2018) Xiao-Ping Zhou et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Machine learning for molecular and materials science
- (2018) Keith T. Butler et al. NATURE
- Deep learning and its applications to machine health monitoring
- (2018) Rui Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Recurrent neural networks for real-time prediction of TBM operating parameters
- (2018) Xianjie Gao et al. AUTOMATION IN CONSTRUCTION
- Thrust and torque components on mixed-face EPB drives
- (2016) Claudia González et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Challenges and opportunities of using tunnel boring machines in mining
- (2016) Y.L. Zheng et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Mechanical characterization of the load distribution on the cutterhead–ground interface of shield tunneling machines
- (2015) Qian Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Modeling of the thrust and torque acting on shield machines during tunneling
- (2014) Qian Zhang et al. AUTOMATION IN CONSTRUCTION
- Theoretical model for loads prediction on shield tunneling machine with consideration of soil-rock interbedded ground
- (2013) Qian Zhang et al. Science China-Technological Sciences
- Estimating torque, thrust and other design parameters of different type TBMs with some criticism to TBMs used in Turkish tunneling projects
- (2013) Ugur Ates et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Modeling the dynamic properties of conventional and high-damping boring bars
- (2012) M. Sortino et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A new calculation model of cutterhead torque and investigation of its influencing factors
- (2012) LinTao Wang et al. Science China-Technological Sciences
- Identification and optimization of energy consumption by shield tunnel machines using a combined mechanical and regression analysis
- (2012) Qian Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Determination of the cutterhead torque for EPB shield tunneling machine
- (2011) Hu Shi et al. AUTOMATION IN CONSTRUCTION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started