A Novel Approach for Multi Class Fault Diagnosis in Induction Machine Based on Statistical Time Features and Random Forest Classifier

Novel Approach ◽

Statistical Time

Air compressor fault diagnosis through statistical feature extraction and random forest classifier

Progress in Industrial Ecology An International Journal ◽

10.1504/pie.2018.10016971 ◽

2018 ◽

Vol 12 (1/2) ◽

pp. 192

Author(s):

S. Aravinth ◽

V. Sugumaran

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Random Forest ◽

Air Compressor ◽

Statistical Feature

Fault Diagnosis of a Single Point Cutting Tool using Statistical Features by Random Forest Classifier

Indian Journal of Science and Technology ◽

10.17485/ijst/2016/v9i33/101340 ◽

2016 ◽

Vol 9 (33) ◽

Author(s):

Cynthia Deb ◽

M. Ramesh Nachiappan ◽

M. Elangovan ◽

V. Sugumaran

Keyword(s):

Fault Diagnosis ◽

Random Forest ◽

Cutting Tool ◽

Single Point ◽

Statistical Features

Air compressor fault diagnosis through statistical feature extraction and random forest classifier

Progress in Industrial Ecology An International Journal ◽

10.1504/pie.2018.095892 ◽

2018 ◽

Vol 12 (1/2) ◽

pp. 192 ◽

Cited By ~ 2

Author(s):

S. Aravinth ◽

V. Sugumaran

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Random Forest ◽

Air Compressor ◽

Statistical Feature

Fault diagnosis of tractor auxiliary gearbox using vibration analysis and random forest classifier

Information Processing in Agriculture ◽

10.1016/j.inpa.2021.01.002 ◽

2021 ◽

Author(s):

Mohammad Hosseinpour-Zarnaq ◽

Mahmoud Omid ◽

Ebrahim Biabani-Aghdam

Keyword(s):

Fault Diagnosis ◽

Random Forest ◽

Vibration Analysis ◽

Random Forest Classifier

A Novel Approach in Determination of Biofilm Forming Capacity of Bacteria Using Random Forest Classifier

IFMBE Proceedings - CMBEBIH 2019 ◽

10.1007/978-3-030-17971-7_42 ◽

2019 ◽

pp. 273-279

Author(s):

Monia Avdić ◽

Zerina Mašetić ◽

Ahmed El Sayed ◽

Lejla Odobašić ◽

Mirsada Hukić

Keyword(s):

Random Forest ◽

Characterizing land cover/land use from multiple years of Landsat and MODIS time series: A novel approach using land surface phenology modeling and random forest classifier

Remote Sensing of Environment ◽

10.1016/j.rse.2018.12.016 ◽

2020 ◽

Vol 238 ◽

pp. 111017 ◽

Cited By ~ 17

Author(s):

Lan H. Nguyen ◽

Deepak R. Joshi ◽

David E. Clay ◽

Geoffrey M. Henebry

Keyword(s):

Land Use ◽

Time Series ◽

Random Forest ◽

Land Cover ◽

Land Surface ◽

Land Surface Phenology ◽

CWLy-RF: A novel approach for identifying cell wall lyases based on random forest classifier

Genomics ◽

10.1016/j.ygeno.2021.06.038 ◽

2021 ◽

Author(s):

Shihu Jiao ◽

Lei Xu ◽

Ying Ju

Keyword(s):

Cell Wall ◽

Random Forest ◽

A Novel Approach for Detection of Hard Exudates Using Random Forest Classifier

Journal of Medical Systems ◽

10.1007/s10916-019-1310-9 ◽

2019 ◽

Vol 43 (7) ◽

Cited By ~ 1

Author(s):

C. Pratheeba ◽

N. Nirmal Singh

Keyword(s):

Random Forest ◽

Hard Exudates ◽

Efficient fault diagnosis of ball bearing using ReliefF and Random Forest classifier

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-017-0717-9 ◽

2017 ◽

Vol 39 (8) ◽

pp. 2969-2982 ◽

Cited By ~ 20

Author(s):

V. Vakharia ◽

V. K. Gupta ◽

P. K. Kankar

Keyword(s):

Fault Diagnosis ◽

Random Forest ◽

Ball Bearing ◽

Random Forest Classifier

Fault Diagnosis of Wind Turbine’s Gearbox Based on Improved GA Random Forest Classifier

DEStech Transactions on Engineering and Technology Research ◽

10.12783/dtetr/amee2018/25323 ◽

2018 ◽

Author(s):

Hao GAN ◽

Bin JIAO

Keyword(s):

Fault Diagnosis ◽

Random Forest ◽

Random Forest Classifier