Related references
Note: Only part of the references are listed.Detecting anomalies in time series data from a manufacturing system using recurrent neural networks
Yue Wang et al.
JOURNAL OF MANUFACTURING SYSTEMS (2022)
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining
Zengya Zhao et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2022)
Failure time prognosis in manufacturing process using multi-dislocated time series convolutional neural network
Bohao Li et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING (2021)
Prediction of product roughness, profile, and roundness using machine learning techniques for a hard turning process
Chunling Du et al.
ADVANCES IN MANUFACTURING (2021)
A Data-Driven Approach of Product Quality Prediction for Complex Production Systems
Lei Ren et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A convolutional approach to quality monitoring for laser manufacturing
Carlos Gonzalez-Val et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2020)
Monitoring of a machining process using kernel principal component analysis and kernel density estimation
Wo Jae Lee et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2020)
An integrated computational intelligence technique based operating parameters optimization scheme for quality improvement oriented process-manufacturing system
Xianhui Yin et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
Development of Adversarial Transfer Learning Soft Sensor for Multigrade Processes
Yi Liu et al.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2020)
A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
Weichao Luo et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
Chuang Sun et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Domain adaptation transfer learning soft sensor for product quality prediction
Yi Liu et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
The use of Digital Twin for predictive maintenance in manufacturing
P. Aivaliotis et al.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2019)
Multi-Gradient Decoupling Control of Quality Fluctuation in Manufacturing Process
Liping Zhao et al.
2019 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM) (2019)
A sensor fusion and support vector machine based approach for recognition of complex machining conditions
Changqing Liu et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2018)
Kernel-based support vector machines for automated health status assessment in monitoring sensor data
Alberto Diez-Olivan et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
A novel approach for real-time prediction and prevention of tool chipping in intermittent turning machining
M. Hassan et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY (2018)
Statistical process monitoring as a big data analytics tool for smart manufacturing
Q. Peter He et al.
JOURNAL OF PROCESS CONTROL (2018)
Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning
Pei Cao et al.
IEEE ACCESS (2018)
An assembly sequence optimization oriented small world networks genetic algorithm and case study
Liping Zhao et al.
ASSEMBLY AUTOMATION (2018)
Adaptive neuro-fuzzy fusion of multi-sensor data for monitoring of CNC machining
Srdjan Jovic et al.
SENSOR REVIEW (2017)
Variation source identification for deep hole boring process of cutting-hard workpiece based on multi-source information fusion using evidence theory
Xueliang Zhou et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2017)
Accuracy Enhancement with Processing Error Prediction and Compensation of a CNC Flame Cutting Machine Used in Spatial Surface Operating Conditions
Shenghai Hu et al.
JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES (2017)
A workcell calibration method for enhancing accuracy in robot machining of aerospace parts
Francesco Leali et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2016)
Health assessment and life prediction of cutting tools based on support vector regression
T. Benkedjouh et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2015)
Real-time quality monitoring and predicting model based on error propagation networks for multistage machining processes
Pingyu Jiang et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2014)
An approach to monitoring quality in manufacturing using supervised machine learning on product state data
Thorsten Wuest et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2014)