Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study
Author:
Affiliation:
1. School of Engineering Zurich University of Applied Sciences,Winterthur,Switzerland
2. Nispera,Zurich,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9911960/9911961/09911976.pdf?arnumber=9911976
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1. Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection
2. Early fault detection based on wind turbine scada data using convolutional neural networks;ulmer;Proceedings of the European Conference of the PHM Society,0
3. A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system
4. A general anomaly detection framework for fleet-based condition monitoring of machines
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