Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics
The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …
optimized operations, and proper maintenance in order to keep the system in an optimal …
Reliability analysis of the main drive system of a CNC machine tool including early failures
Early failures occur in the initial operation period of complicated systems such as Main Drive
Systems (MDSs) of Computerized Numerical Control machine tools (CNC machine tools). In …
Systems (MDSs) of Computerized Numerical Control machine tools (CNC machine tools). In …
Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: An early failure detection diagnostic service
Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …
situations in processes to avoid downtimes caused by unexpected tool wear or …
Remaining useful life prediction of IIoT-enabled complex industrial systems with hybrid fusion of multiple information sources
Industrial Internet of Things has significantly boosted predictive maintenance for complex
industrial systems, where the accurate prediction of remaining useful life (RUL) with high …
industrial systems, where the accurate prediction of remaining useful life (RUL) with high …
Health prediction of partially observable failing systems under varying environments
C Duan, Y Jiang, H Pu, J Luo, F Liu, B Tang - ISA transactions, 2023 - Elsevier
The modern engineering systems often operate under varying environments and only partial
information can be observed at discrete monitoring epochs. For such systems, few works …
information can be observed at discrete monitoring epochs. For such systems, few works …
Human–machine systems reliability: A series–parallel approach for evaluation and improvement in the field of machine tools
RM Amaya-Toral, MR Piña-Monarrez… - Applied Sciences, 2022 - mdpi.com
Machine workshops generate high scrap rates, causing non-compliance with timely delivery
and high production costs. Due to their natural characteristics of a low volume, high-mix …
and high production costs. Due to their natural characteristics of a low volume, high-mix …
Prediction of Tool Remaining Useful Life Based on NHPP-WPHM
Y Zhang, G Guo, F Yang, Y Zheng, F Zhai - Mathematics, 2023 - mdpi.com
A tool remaining useful life prediction method based on a non-homogeneous Poisson
process and Weibull proportional hazard model (WPHM) is proposed, taking into account …
process and Weibull proportional hazard model (WPHM) is proposed, taking into account …
Reliability modeling and analysis of cycloid gear grinding machines based on the bootstrap-bayes method
H Wang, J Li, Y Fu, Z Zhang - Journal of Advanced Mechanical …, 2023 - jstage.jst.go.jp
To increase the reliability of cycloidal wheel grinding machines, reduce the failure rate of
machine tools, and shorten maintenance times, a reliability modeling method for small …
machine tools, and shorten maintenance times, a reliability modeling method for small …
Reliability evaluation of the servo turret with accurate failure data and interval censored data based on EM algorithm
B Sun, N Balakrishnan, F Chen, B Xu, Z Yang… - Journal of Mechanical …, 2020 - Springer
The servo turret is a complex electromechanical hydraulic component that is the most likely
to fail in a numerical control lathe. Reliability evaluation is used to make statistical inferences …
to fail in a numerical control lathe. Reliability evaluation is used to make statistical inferences …
基于信息物理融合和数字孪生的可靠性分析
宋林, 王立平, 吴军, 关立文, 刘知贵 - 吉林大学学报(工学版), 2022 - xuebao.jlu.edu.cn
针对实际应用中缺乏统一集成的用于数控装备可靠性分析的信息物理融合系统框架和算法实现,
本文提出了一种基于数字孪生的方法, 研究了具体的框架搭建和算法实现. 通过数据采集 …
本文提出了一种基于数字孪生的方法, 研究了具体的框架搭建和算法实现. 通过数据采集 …