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SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing.
Yulia Svetashova
Baifan Zhou
Stefan Schmid
Tim Pychynski
Evgeny Kharlamov
Published in:
ISWC (Demos/Industry) (2020)
Keyphrases
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condition monitoring
fault detection
fault diagnosis
maximum likelihood
acoustic emission
power transformers
nuclear power plant
neural network
case based reasoning
quality control
tool wear
machine learning
management system
manufacturing systems
random fields