A Bayesian method for estimating uncertainty in excavated material

@article{Balamurali2021ABM,
  title={A Bayesian method for estimating uncertainty in excavated material},
  author={Mehala Balamurali},
  journal={International Journal of Mining, Reclamation and Environment},
  year={2021},
  volume={36},
  pages={125 - 141}
}
  • M. Balamurali
  • Published 3 May 2021
  • Engineering
  • International Journal of Mining, Reclamation and Environment
ABSTRACT This paper proposes a method to probabilistically quantify the moments (mean and variance) of excavated material during excavation by aggregating the prior moments of the grade blocks around the given bucket dig location. By modelling the moments as random probability density functions (pdf) at sampled locations, a formulation of the sums of Gaussian-based uncertainty estimation is presented that jointly estimates the location pdfs, as well as the prior values for uncertainty coming… 

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