[HTML][HTML] Predictive maintenance using digital twins: A systematic literature review
Context Predictive maintenance is a technique for creating a more sustainable, safe, and
profitable industry. One of the key challenges for creating predictive maintenance systems is …
profitable industry. One of the key challenges for creating predictive maintenance systems is …
Machine tool calibration: Measurement, modeling, and compensation of machine tool errors
Advanced technologies for the calibration of machine tools are presented. Kinematic errors
independently of their causes are classified into errors within one-axis as intra-axis errors …
independently of their causes are classified into errors within one-axis as intra-axis errors …
Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises
Anomaly detection of machine tools plays a vital role in the machinery industry to sustain
efficient operation and avoid catastrophic failures. Compared to traditional machine learning …
efficient operation and avoid catastrophic failures. Compared to traditional machine learning …
Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems
Y Zhang, H Zhu, D Tang, T Zhou, Y Gui - Robotics and Computer-Integrated …, 2022 - Elsevier
Personalized orders bring challenges to the production paradigm, and there is an urgent
need for the dynamic responsiveness and self-adjustment ability of the workshop …
need for the dynamic responsiveness and self-adjustment ability of the workshop …
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing
C Liu, H Zhu, D Tang, Q Nie, T Zhou, L Wang… - Robotics and Computer …, 2022 - Elsevier
Abstract In the Industry 4.0 era, the number and complexity of machine tools are both
increased, which is prone to cause malfunctions and downtime in the manufacturing …
increased, which is prone to cause malfunctions and downtime in the manufacturing …
Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …
Survey of integrated flexible job shop scheduling problems
The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …
many different mathematical models and solution approaches have been developed. With …
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment
Bearing fault diagnosis is a critical and challenging task for prognostics and health
management of motors. The ability to efficiently and accurately classify the fault categories …
management of motors. The ability to efficiently and accurately classify the fault categories …
A multi-agent and cloud-edge orchestration framework of digital twin for distributed production control
Q Nie, D Tang, C Liu, L Wang, J Song - Robotics and Computer-Integrated …, 2023 - Elsevier
The demands for mass individualization and networked collaborative manufacturing are
increasing, bringing significant challenges to effectively organizing idle distributed …
increasing, bringing significant challenges to effectively organizing idle distributed …
Review of intelligence for additive and subtractive manufacturing: current status and future prospects
Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless
possibilities in various sectors covering personal, industrial, medical, aviation and even …
possibilities in various sectors covering personal, industrial, medical, aviation and even …