Intelligent decision support for maintenance: an overview and future trends

CJ Turner, C Emmanouilidis, T Tomiyama… - … Journal of Computer …, 2019 - Taylor & Francis
The changing nature of manufacturing, in recent years, is evident in industry's willingness to
adopt network-connected intelligent machines in their factory development plans. A number …

Interactive feature extraction for diagnostic trouble codes in predictive maintenance: A case study from automotive domain

P Pirasteh, S Nowaczyk, S Pashami… - Proceedings of the …, 2019 - dl.acm.org
Predicting future maintenance needs of equipment can be addressed in a variety of ways.
Methods based on machine learning approaches provide an interesting platform for mining …

Introducing pulseAT: a tool for analyzing system utilization in distributed systems

U Jahn, V Poliakov, M Gardi, P Schulz… - … on Parallel and …, 2019 - ieeexplore.ieee.org
For the development and maintenance of distributed systems, it is useful to analyze the
system condition and utilization for each hardware component. With pulseAT, a tool has …