Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots

Transfer learning enabled convolutional neural networks for estimating health state of cutting tools

(2021) Mohamed Marei et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Time-dependent reliability analysis of harmonic drive based on transient FEA and accelerated life test

(2020) Xian Zhang et al.   ENGINEERING COMPUTATIONS

Combined offline simulation and online adaptation approach for the accuracy improvement of milling robots

(2020) M.F. Zaeh et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Time-variant reliability analysis for industrial robot RV reducer under multiple failure modes using Kriging model

(2020) Hua-Ming Qian et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

In-process tool condition forecasting based on a deep learning method

(2020) Huibin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Research on Identification Method of Wear Degradation of External Gear Pump Based on Flow Field Analysis

(2020) Rui Guo et al.   SENSORS

Prognostics of Health Measures for Machines With Aging and Dynamic Cumulative Damage

(2020) Chaoqun Duan et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin

(2020) Weichao Luo et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop

(2020) Qi Lin et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

An integrated processing energy modeling and optimization of automated robotic polishing system

(2020) Huajun Cao et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing

(2020) Fengli Zhang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation

(2020) Unai Izagirre et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A new graph-based semi-supervised method for surface defect classification

(2020) Yucheng Wang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

The use of Digital Twin for predictive maintenance in manufacturing

(2019) P. Aivaliotis et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

(2019) Yuqian Lu et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A digital twin-driven approach for the assembly-commissioning of high precision products

(2019) Xuemin Sun et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A method of NC machine tools intelligent monitoring system in smart factories

(2019) Wei Liu et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

In-process machine vision monitoring of tool wear for Cyber-Physical Production Systems

(2019) Romulo Gonçalves Lins et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Accurate dynamic modeling and control parameters design of an industrial hybrid spray-painting robot

(2019) Binbin Zhang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

(2018) Zhengxin Zhang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A Computer Vision-inspired Deep Learning Architecture for Virtual Metrology modeling with 2-Dimensional Data

(2018) Marco Maggipinto et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Remaining Useful Life Prediction for Multiple-Component Systems Based on a System-Level Performance Indicator

(2018) Leonardo Ramos Rodrigues   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Gearbox condition monitoring in wind turbines: A review

(2018) Jack P. Salameh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Recent advances in prognostics and health management for advanced manufacturing paradigms

(2018) Tangbin Xia et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Research on the dynamic transmission error of a spur gear pair with eccentricities by finite element method

(2017) Wang Guangjian et al.   MECHANISM AND MACHINE THEORY

An engineering model to estimate consistency reduction of lubricating grease subjected to mechanical degradation under shear

(2016) Asghar Rezasoltani et al.   TRIBOLOGY INTERNATIONAL

A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery

(2016) Adrian Cubillo et al.   Advances in Mechanical Engineering

Degradation modeling for real-time estimation of residual lifetimes in dynamic environments

(2015) Linkan Bian et al.   IIE TRANSACTIONS

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Regression to fuzziness method for estimation of remaining useful life in power plant components

(2014) Miltiadis Alamaniotis et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition

(2013) George Georgoulas et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Review on Grease Lubrication in Rolling Bearings

(2009) Piet M. Lugt   TRIBOLOGY TRANSACTIONS

Rotating machinery prognostics: State of the art, challenges and opportunities

(2008) Aiwina Heng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING