Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutiona Neural Network (CNN)

Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis

The dataset contains a collection of experiment results and event logs generated. The experiment comprises a job-shop scheduling problem, implemented in a discrete-event simulation model. The raw experiment results are given from which event log files can be generated by following the steps as described in this data paper or the referred academic paper. A collection of event log files is given, as well as the raw files. The logs include the filtered part of the case study as presented in the paper "An agent-based process mining architecture for emergent behavior analysis" by Rob Bemthuis, Martijn Koot, Martijn Mes, Faiza Bukhsh, Maria-Eugenia Iacob, and Nirvana Meratnia