Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications.

Kumar R, Singh J, Sharma S, Li C, Królczyk G, Eldin EMT, Wojciechowski S

Open source

DOI
10.1016/j.heliyon.2022.e12053
Published
2022 Dec
Container
Heliyon
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 18/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.heliyon.2022.e12053,
  title = {Identification of localized defects and fault size estimation of taper roller bearing (NBC\_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications.},
  author = {Kumar R and Singh J and Sharma S and Li C and Królczyk G and Eldin EMT and Wojciechowski S},
  year = {2022},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2022.e12053},
  url = {https://doi.org/10.1016/j.heliyon.2022.e12053}
}

RIS

TY  - JOUR
TI  - Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications.
AU  - Kumar R
AU  - Singh J
AU  - Sharma S
AU  - Li C
AU  - Królczyk G
AU  - Eldin EMT
AU  - Wojciechowski S
PY  - 2022
JO  - Heliyon
DO  - 10.1016/j.heliyon.2022.e12053
UR  - https://doi.org/10.1016/j.heliyon.2022.e12053
ER  - 

APA

R, K., J, S., S, S., C, L., G, K., EMT, E., & S, W. (2022). Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications.. Heliyon. https://doi.org/10.1016/j.heliyon.2022.e12053

Source records