A Compressed Sensing Feature Extraction Approach for Diagnostics and Prognostics in Electromagnetic Solenoids

@inproceedings{Knbel2017ACS,
  title={A Compressed Sensing Feature Extraction Approach for Diagnostics and Prognostics in Electromagnetic Solenoids},
  author={Christian Kn{\"o}bel and Hanna Wenzl and Johannes Reuter and Clemens G{\"u}hmann},
  year={2017}
}
One major realm of Condition Based Maintenance is finding features that reflect the current health state of the asset or component under observation. Most of the existing approaches are accompanied with high computational costs during the different feature processing phases making them infeasible in a real-world scenario. In this paper a feature generation method is evaluated compensating for two problems: (1) storing and handling large amounts of data and (2) computational complexity. Both… CONTINUE READING

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