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Dr.S.RaviKumar
Dr.S.RaviKumar
B.S. Abdur Rahman Crescent Institute of Science and Technology ( Deemed to be University)
Verified email at crescent.education
Title
Cited by
Cited by
Year
Fault diagnosis of self-aligning troughing rollers in belt conveyor system using k-star algorithm
S Ravikumar, H Kanagasabapathy, V Muralidharan
Measurement 133, 341-349, 2019
462019
Condition monitoring of Self aligning carrying idler (SAI) in belt-conveyor system using statistical features and decision tree algorithm
V Muralidharan, S Ravikumar, H Kangasabapathy
Measurement 58, 274-279, 2014
342014
Histogram as features for fault detection of multi point cutting tool–A data driven approach
DP Kumar, V Muralidharan, S Ravikumar
Applied Acoustics 186, 108456, 2022
242022
Multi-Component Fault Diagnosis of Self Aligning Troughing Roller (SATR) in Belt Conveyor System using Decision Tree-a Statistical Approach.
S Ravikumar, H Kanagasabapathy, V Muralidharan
FME Transactions 48 (2), 2020
142020
Fault diagnosis of self-aligning troughing rollers in a belt conveyor system using an artificial neural network and Naive Bayes algorithm
S Ravikumar, S Kanagasabapathy, V Muralidharan, RS Srijith, ...
Emerging Trends in Engineering, Science and Technology for Society, Energy …, 2018
62018
Fault diagnosis of self-aligning conveyor idler in coal handling belt conveyor system by statistical features using random forest algorithm
S Ravikumar, V Muralidharan, P Ramesh, C Pandian
Advances in Smart Grid Technology: Select Proceedings of PECCON 2019—Volume …, 2021
52021
Fault diagnosis of Self Aligning carrying Idler (SAI) in Belt-Conveyor System using Statistical Features and Support Vector Machine
KH Ravikumar.S,Muralidharan.V
International Conference on Computational Intelligence & Advanced …, 2014
42014
Fault Classification using Fuzzy Logic in an Epicyclic Gearbox with Statistical Features
SH Syed, V Muralidharan, P Kumar
SAE Technical Paper, 2021
22021
Effect of K-Nearest Neighbours (k-NN) in Classifying Planetary Gearbox Faults Using Statistical Features
SH Syed, V Muralidharan, P Kumar
SAE Technical Paper, 2022
12022
Condition monitoring of electric vehicle motor testing machine’s Vital components using bagged trees and quadratic SVM: a comparative study
VM S Ravikumar, .S.:Syed wahid ali: C.K Aravinda Pandian
Engineering Research Express 6 ((2024) 025531), 11, 2024
2024
Fault Classification of Face Milling Tool Using Vibration Signals and Histogram Features–A Machine Learning Approach
P S.RaviKumar, V Muralidharan, S Syed
SAE Technical Paper, 2022
2022
Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning–A Statistical Approach
R Santhanam, S Syed, V Muralidharan, P Kumar
SAE International Journal of Advances and Current Practices in Mobility 5 …, 2022
2022
Condition Monitoring of Induced Draft Fan (IDF) installed in Coal based Thermal power Generation plants by Statistical Features and Decision Tree Algorithm
VMD S. Ravikumar A, H.Kanagasabapathy B,S.Prabhar C
2nd National Conference on Recent trends in Automotive manufacturing in …, 2016
2016
Multi Component Fault Diagnosis of Induced Draft Fan by Statistical Features and Decision Tree Algorithm (IDF) in Coal based Thermal power Generation System
HKBSGCVMC S. Ravikumar,
Proceedings in National Conference on Recent Advances in Mechancial …, 2016
2016
A machine learning approach to fault diagnosis of self aligning carrying idlers in belt conveyor system
S Ravikumar
Chennai, 0
CONDITION MONITORING OF INDUCED DRAFT FAN (IDF) IN COAL BASED THERMAL POWER GENERATION SYSTEM USING STATISTICAL FEATURES AND DECISION TREE ALGORITHM
S Ravikumar, V Muralidharan, H Kanagasabapathy
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