Research

@article{app12136766,

title = {Application of Machine Learning Tools for Long-Term Diagnostic Feature Data Segmentation},

author = {Forough Moosavi and Hamid Shiri and Jacek Wodecki and Agnieszka Wyłomańska and Radoslaw Zimroz},

url = {https://www.mdpi.com/2076-3417/12/13/6766},

doi = {10.3390/app12136766},

issn = {2076-3417},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Applied Sciences},

volume = {12},

number = {13},

keywords = {condition monitoring, Heavy-tailed Distributions, Machine Learning, Modeling, MOIRA, Predicon, statistical analysis, Vibration},

pubstate = {published},

tppubtype = {article}

}

@article{Gralczyk2021,

title = {Drill bit deterioration estimation with the Random Forest Regressor},

author = {Mateusz Goralczyk and Anna Michalak and Pawel Sliwinski},

url = {https://doi.org/10.1088/1755-1315/942/1/012013},

doi = {10.1088/1755-1315/942/1/012013},

year  = {2021},

date = {2021-12-08},

urldate = {2021-12-08},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {942},

number = {1},

pages = {012013},

publisher = {IOP Publishing},

keywords = {drilling rig, Machine Learning, prediction, process performance, Random Forest Regressor, SafeMe4Mine},

pubstate = {published},

tppubtype = {article}

}