Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery

Bo Wu, Yangde Gao, Songlin Feng, Theerasak Chanwimalueang. Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery. Entropy, 20(10):747, 2018. [doi]

@article{WuGFC18,
  title = {Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery},
  author = {Bo Wu and Yangde Gao and Songlin Feng and Theerasak Chanwimalueang},
  year = {2018},
  doi = {10.3390/e20100747},
  url = {https://doi.org/10.3390/e20100747},
  researchr = {https://researchr.org/publication/WuGFC18},
  cites = {0},
  citedby = {0},
  journal = {Entropy},
  volume = {20},
  number = {10},
  pages = {747},
}