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

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

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/225/1/012141 ◽

2017 ◽

Vol 225 ◽

pp. 012141 ◽

Cited By ~ 2

Author(s):

M. Deepak Sonje ◽

P. Kundu ◽

A. Chowdhury

Keyword(s):

Fault Diagnosis ◽

Random Forest ◽

Induction Machine ◽

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

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 ◽

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 ◽

Multiple fault diagnosis for hydraulic systems using Nearest-centroid-with-DBA and Random-Forest-based-time-series-classification

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189401 ◽

2020 ◽

Author(s):

Zhijie Peng ◽

Ke Zhang ◽

Yi Chai

Keyword(s):

Time Series ◽

Fault Diagnosis ◽

Random Forest ◽

Time Series Classification ◽

Hydraulic Systems ◽

Multiple Fault ◽

Multiple Fault Diagnosis

Using Lexicon and Random Forest Classifier for Twitter Sentiment Analysis

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i6.591594 ◽

2019 ◽

Vol 7 (6) ◽

pp. 591-594

Author(s):

M. Thenmozhi ◽

R. Indira ◽

R. Dharani

Keyword(s):

Random Forest ◽

Sentiment Analysis ◽

The Performance Improvement on 4-FB Face using Random Forest Classifier

Scientific Visualization ◽

10.26583/sv.10.5.01 ◽

2018 ◽

Vol 10 (5) ◽

pp. 1-12

Author(s):

B. Nassih ◽

A. Amine ◽

M. Ngadi ◽

D. Naji ◽

N. Hmina

Keyword(s):

Random Forest ◽

Performance Improvement ◽

2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) ◽

Methodology for Malware Classification using a Random Forest Classifier

10.1109/ropec.2018.8661441 ◽

2018 ◽

Cited By ~ 4

Author(s):

Carlos Domenick Morales-Molina ◽

Diego Santamaria-Guerrero ◽

Gabriel Sanchez-Perez ◽

Hector Perez-Meana ◽

Aldo Hernandez-Suarez

Keyword(s):

Random Forest ◽

Malware Classification