[AISWorld] Second Workshop on Big Data Predictive Maintenance Using Artificial Intelligence (BDPM-AI)

[Beth Hackett]

*Second Workshop on Big Data Predictive Maintenance Using Artificial
Intelligence (BDPM-AI)*

in

*IEEE BigData 2020*

http://soc.southalabama.edu/bdpm2020/



*RESEARCH TOPICS*

The focus of this special session will be on the (but not limited to)
following topics:



   - Preventive maintenance using Artificial intelligence techniques,
   Machine learning algorithms and Deep learning
   - 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 and predictive maintenance
   - Uncertainty based preventive maintenance
   - Fault classification and feature selection for system diagnosis
   - Time series based predictive maintenance
   - Soft computing for predictive maintenance
   - Preventive maintenance with live streaming data
   - Internet of things (IoT) in big data and predictive maintenance
   - Data Security and Privacy for predictive maintenance
   - Distributed computing of sub-system maintenance data and aggregating
   the results in system level





*IMPORTANT DATES*

    Sep 30, 2020: Due date for full workshop papers submission

    Oct 30, 2020: Notification of paper acceptance to authors

    Nov 15, 2020: Camera-ready of accepted papers

    Dec 10-13, 2020: Workshops



*PROGRAM CHAIRS*

1. Rituparna Datta, University of South Alabama, rdatta at southalabama.edu

2. Ryan Benton, University of South Alabama, rbenton at southalabama.edu

3. Aviv Segev, University of South Alabama, segev at southalabama.edu