Big Data Predictive Maintenance Using Artificial Intelligence
摘要截稿:
全文截稿: 2019-10-01
开会时间: 2019-12-09
会议难度:
CCF分类: 无
会议地点: Los Angeles, USA
Overview
The motivation of organizing this workshop at the 2019 IEEE International Conference on Big Data is to integrate the ideas of predictive maintenance using machine learning methods and data-driven optimization. Every industry has to work on predictive maintenance to rectify failure before it occurs. In this regard, the main topics of interest of this session are the developments and challenges in bringing the concepts of computer-integrated manufacturing and maintenance strategies. Big data analytics techniques are being applied in every sector including predictive maintenance.
Topics of interest to this workshop include (but are not limited to):
Predictive maintenance using Artificial Intelligence techniques, Machine Learning and Deep Learning algorithms
Identification of fault diagnosis
Structural health monitoring, condition monitoring and decision support systems
Modelling and optimization of processes
Pre-processing and data analysis, characteristic fault features
Critical manufacturing and industrial system for predictive maintenance
Uncertainty based predictive maintenance
Fault classification and feature selection for system diagnosis
Time series based predictive maintenance
Soft computing for predictive maintenance
Predictive maintenance with live streaming data
Distributed computing of sub-system maintenance data using Neural Networks and aggregating the results on the system level