| 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 | 42 | 2019 |
| 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 | 32 | 2014 |
| 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 | 21 | 2022 |
| 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 | 13 | 2020 |
| 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 | 6 | 2018 |
| 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 | 5 | 2021 |
| 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 | 4 | 2014 |
| Fault Classification using Fuzzy Logic in an Epicyclic Gearbox with Statistical Features SH Syed, V Muralidharan, P Kumar SAE Technical Paper, 2021 | 2 | 2021 |
| 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 | 1 | 2022 |
| 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 | | |
Dr. V. MuralidharanB.S. Abdur Rahman Crescent Institute of Science and Technology在 crescent.education 的电子邮件经过验证
