Year : 2019
Parkinson’s Tremor Suppression Using Active Vibration Control Method
Cite this Research Publication :
A. Lekshmi and Dr. K. I. Ramachandran, “Parkinson's Tremor Suppression Using Active Vibration Control Method”, IOP Conference Series: Materials Science and Engineering, vol. 577, p. 012056, 2019.
Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing
Year : 2019
Performance enhancement of the machine-fault diagnosis system using feature mapping, normalisation and decision fusion
Cite this Research Publication :
K. T. Sreekumar, George, K. K., C. Kumar, S., and Dr. K. I. Ramachandran, “Performance enhancement of the machine-fault diagnosis system using feature mapping, normalisation and decision fusion”, IET Science, Measurement Technology, vol. 13, pp. 1287-1298, 2019.
Publisher : IET Science, Measurement Technology, IET,
Year : 2019
Scalable fault models for diagnosis in a synchronous generator using feature mapping and transformation techniques
Cite this Research Publication :
G. Rajendiran, Kumar, C., and Dr. K. I. Ramachandran, “Scalable fault models for diagnosis in a synchronous generator using feature mapping and transformation techniques”, International Journal of Prognostics and Health Management, vol. 9, p. 11, 2019.
Publisher : International Journal of Prognostics and Health Management,
Year : 2019
A multi-sensor information fusion for fault diagnosis of a gearbox utilizing discrete wavelet features
Cite this Research Publication :
P. T. Kumar, Dr. Saimurugan M., Haran, R. B. Hari, Siddharth, S., and Dr. K. I. Ramachandran, “A multi-sensor information fusion for fault diagnosis of a gearbox utilizing discrete wavelet features”, Measurement Science and Technology, vol. 30, no. 8, 2019.
Publisher : Measurement Science and Technology
Year : 2019
Extraction of foetal ECG from abdominal ECG by nonlinear transformation and estimations.
Cite this Research Publication :
R. Gini John and Dr. K. I. Ramachandran, “Extraction of foetal ECG from abdominal ECG by nonlinear transformation and estimations.”, Comput Methods Programs Biomed, vol. 175, pp. 193-204, 2019.
Publisher : Comput Methods Programs Biomed
Year : 2018
Acoustic emission based tool condition classification in a precision high speed machining of titanium alloy (Ti-6Al-4V): A machine learning approach
Cite this Research Publication : Krishna Kumar P., K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Acoustic emission based tool condition classification in a precision high speed machining of titanium alloy (Ti-6Al-4V): A machine learning approach”, International Journal of Computational Intelligence and Applications, vol. 17, 2018.
Publisher : International Journal of Computational Intelligence and Applications, World Scientific Publishing Co
Year : 2018
Tool Wear Monitoring of Multipoint Cutting Tool using Sound Signal Features Signals with Machine Learning Techniques
Cite this Research Publication :
S. Ravikumar and Dr. K. I. Ramachandran, “Tool Wear Monitoring of Multipoint Cutting Tool using Sound Signal Features Signals with Machine Learning Techniques”, Materials Today: Proceedings, vol. 5, pp. 25720 - 25729, 2018.
Publisher : Materials Today: Proceedings.
Year : 2018
Driver Fatigue detection using Infrared sensor and Adaptive Neuro-Fuzzy Inference System
Cite this Research Publication :
H. K, Dr. K. I. Ramachandran, and S, A., “Driver Fatigue detection using Infrared sensor and Adaptive Neuro-Fuzzy Inference System”, International Journal of Pure and Applied Mathematics, vol. 118, 20 vol., pp. 4209-4214, 2018.
Publisher : International Journal of Pure and Applied Mathematics.
Year : 2018
Pedestrian Detection using Data Fusion of Leddar Sensor and Visual Camera with the help of Machine Learning
Cite this Research Publication : V. D, Dr. K. I. Ramachandran, and S, A., “Pedestrian Detection using Data Fusion of Leddar Sensor and Visual Camera with the help of Machine Learning”, International Journal of Pure and Applied Mathematics, vol. 118, 20 vol.
Publisher : International Journal of Pure and Applied Mathematics,
Year : 2018
Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features
Cite this Research Publication : P. Krishnakumar, K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features”, Intelligent Decision Technologies, vol. 12, pp. 1-18, 2018.
Publisher : Intelligent Decision Technologies .
Year : 2018
Wavelet-based fundamental heart sound recognition method using morphological and interval features
Cite this Research Publication : N. V. Varghees, Dr. K. I. Ramachandran, and Soman, K. P., “Wavelet-based fundamental heart sound recognition method using morphological and interval features”, Healthcare Technology Letters, vol. 5, pp. 81-87, 2018.
Publisher : Healthcare Technology Letters, Institution of Engineering and Technology,
Year : 2018
Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox
Cite this Research Publication : T. Praveenkumar, Sabhrish, B., Dr. Saimurugan M., and Dr. K. I. Ramachandran, “Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox”, Measurement, vol. 114, pp. 233 - 242, 2018.
Publisher : Measurement
Year : 2018
Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers
Cite this Research Publication :
Krishna Kumar P., K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers”, International Journal of Prognostics and Health Management, vol. 9, no. 8, pp. 2153-2648, 2018.
Publisher : International Journal of Prognostics and Health Management, Prognostics and Health Management Society
Year : 2018
Design of Sensor Data Fusion Algorithm for Mobile Robot Navigation Using ANFIS and Its Analysis Across the Membership Functions
Cite this Research Publication :
S. Adarsh and Dr. K. I. Ramachandran, “Design of Sensor Data Fusion Algorithm for Mobile Robot Navigation Using ANFIS and Its Analysis Across the Membership Functions”, Automatic Control and Computer Sciences, vol. 52, pp. 382-391, 2018.
Publisher : Automatic Control and Computer Sciences
Year : 2018
Analysis of cosine distance features for speaker verification
Cite this Research Publication :
K. K. George, Kumar, C. S., Sivadas, S., Dr. K. I. Ramachandran, and Panda, A., “Analysis of cosine distance features for speaker verification”, Pattern Recognition Letters, vol. 112, pp. 285-289, 2018.
Publisher : Pattern Recognition Letters
Year : 2018
Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach
Cite this Research Publication : P. Krishnakumar, K. Ramesh Kumar, and RAMACHANDRAN, K. I., “Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach”, International Journal of Computational Intelligence and Applications, vol. 17, p. 1850017, 2018.
Publisher : International Journal of Computational Intelligence and Applications, Volume 17, Number 03, p.1850017 (2018).
Year : 2017
Mathematical modelling of raw material preheating by energy recycling method in metal casting process
Cite this Research Publication :
J. Selvaraj, Prakash Marimuthu K., Dr. Sriram Devanathan, and Dr. K. I. Ramachandran, “Mathematical modelling of raw material preheating by energy recycling method in metal casting process”, Pollution Research, vol. 36, pp. 217-228, 2017.
Publisher : Pollution Research, EM International
Year : 2017
Fisher vector encoding for improving the performance of fault diagnosis in a synchronous generator
Cite this Research Publication : R. Gopinath, Kumar, C. S., and Dr. K. I. Ramachandran, “Fisher vector encoding for improving the performance of fault diagnosis in a synchronous generator”, Measurement: Journal of the International Measurement Confederation, vol. 111, pp. 264-270, 2017.
Publisher : Measurement: Journal of the International Measurement Confederation
Year : 2017
Effective heart sound segmentation and murmur classification using empirical wavelet transform and instantaneous phase for electronic stethoscope
Cite this Research Publication :
N. V. Varghees and Dr. K. I. Ramachandran, “Effective heart sound segmentation and murmur classification using empirical wavelet transform and instantaneous phase for electronic stethoscope”, IEEE Sensors Journal, vol. 17, pp. 3861-3872, 2017.
Publisher : IEEE Sensors Journal, Institute of Electrical and Electronics Engineers Inc.
Year : 2017
Comparison of vibration, sound and motor current signature analysis for detection of gear box faults
Cite this Research Publication :
T. Praveenkumar, Saimurugan, M., and Dr. K. I. Ramachandran, “Comparison of vibration, sound and motor current signature analysis for detection of gear box faults”, International Journal of Prognostics and Health Management, vol. 8, 2017.
Publisher : International Journal of Prognostics and Health Management
Year : 2017
Comparision of Sound, Vibration and motor current signature analysis for detection of gearbox faults
Cite this Research Publication :
T. Praveenkumar, Dr. Saimurugan M., and Dr. K. I. Ramachandran, “Comparision of Sound, Vibration and motor current signature analysis for detection of gearbox faults”, International Journal of Prognostics and Health Management, vol. 8, no. 2, pp. 1-10, 2017.
Publisher : International Journal of Prognostics and Health Management
Year : 2016
Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/ robot navigation applications
Cite this Research Publication :
A. Sasidharan, Salahuddin, M. Kaleemuddi, Bose, D., and Dr. K. I. Ramachandran, “Performance comparison of Infrared and Ultrasonic sensors for obstacles of different materials in vehicle/ robot navigation applications”, IOP Conference Series: Materials Science and Engineering, vol. 149, p. 012141, 2016.
Publisher : IOP Conference Series: Materials Science and Engineering,
Year : 2016
Three dimensional design, simulation and optimization of a novel, universal diabetic foot offloading orthosis
Cite this Research Publication :
C. Sukumar and Dr. K. I. Ramachandran, “Three dimensional design, simulation and optimization of a novel, universal diabetic foot offloading orthosis”, IOP Conference Series: Materials Science and Engineering, vol. 149, p. 012140, 2016.
Publisher : IOP Conference Series: Materials Science and Engineering, IOP Publishing
Year : 2016
Fault Diagnosis of Bearings using Vibration Signals and Wavelets
Cite this Research Publication :
V. Abhijit, Sugumaran, V., and Dr. K. I. Ramachandran, “Fault Diagnosis of Bearings using Vibration Signals and Wavelets”, Indian Journal of Science and Technology, vol. 9, 2016.
Publisher : Indian Journal of Science and Technology
Year : 2016
Scalable Fault Models for Diagnosis of Synchronous Generators
Cite this Research Publication :
R. Gopinath, Dr. Santhosh Kumar C., and Dr. K. I. Ramachandran, “Scalable Fault Models for Diagnosis of Synchronous Generators”, International Journal of Intelligent Systems Technologies and Applications, 2016.
Publisher : International Journal of Intelligent Systems Technologies and Applications, Inderscience.
Year : 2016
Intelligent fault diagnosis of synchronous generators
Cite this Research Publication :
R. Gopinath, Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, Upendranath, V., and Kiran, P. V. R. Sai, “Intelligent fault diagnosis of synchronous generators”, Expert Systems with Applications, vol. 45, pp. 142 - 149, 2016.
Publisher : Expert Systems with Applications
Year : 2016
An image processing based pedestrian detection system for driver assistance
Cite this Research Publication :
A. K. Sandeep, Nithin S, and Dr. K. I. Ramachandran, “An image processing based pedestrian detection system for driver assistance”, International Journal of Control Theory and Applications, vol. 9, pp. 7369-7375, 2016.
Publisher : International Journal of Control Theory and Applications Serials Publications.
Year : 2016
Finite Element Modelling and Residual Stress Prediction in End Milling of Ti6Al4Valloy
Cite this Research Publication :
Krishna Kumar P., Sripathi, J., Vijay, P., and Dr. K. I. Ramachandran, “Finite Element Modelling and Residual Stress Prediction in End Milling of Ti6Al4Valloy”, IOP Conference Series: Materials Science and Engineering, vol. 149, p. 012154, 2016.
Publisher : IOP Conference Series: Materials Science and Engineering.
Year : 2015
Multistage decision-based heart sound delineation method for automated analysis of heart sounds and murmurs.
Cite this Research Publication : N. V Varghees and Dr. K. I. Ramachandran, “Multistage decision-based heart sound delineation method for automated analysis of heart sounds and murmurs.”, Healthc Technol Lett, vol. 2, no. 6, pp. 156-63, 2015
Publisher : Healthc Technol Lett
Year : 2015
Vital sign normalisation for improving performance of multi-parameter patient monitors
Cite this Research Publication :
Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, and A.A., K., “Vital sign normalisation for improving performance of multi-parameter patient monitors”, Electronics Letters, vol. 51, pp. 2089-2090, 2015.
Publisher : Electronics Letters, Institution of Engineering and Technology,
Year : 2015
Tool Wear Condition Prediction Using Vibration Signals in High Speed Machining (HSM) of Titanium (Ti-6Al-4V) Alloy
Cite this Research Publication :
Krishna Kumar P., Rameshkumar, K., and Dr. K. I. Ramachandran, “Tool Wear Condition Prediction Using Vibration Signals in High Speed Machining (HSM) of Titanium (Ti-6Al-4V) Alloy”, Procedia Computer Science, vol. 50, pp. 270 - 275, 2015.
Publisher : Procedia Computer Science
Year : 2015
Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator
Cite this Research Publication :
R. Gopinath, Dr. Santhosh Kumar C., Vishnuprasad, K., and Dr. K. I. Ramachandran, “Feature Mapping Techniques for Improving the Performance of Fault Diagnosis of Synchronous Generator”, International Journal of Prognostics and Health Management, vol. 6, 2015.
Publisher : International Journal of Prognostics and Health Management
Year : 2015
Cosine distance features for improved speaker verification
Cite this Research Publication : K. Ka George, Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, and Panda, Ab, “Cosine distance features for improved speaker verification”, Electronics Letters, vol. 51, pp. 939-941, 2015.
Publisher : Electronics Letters, Institution of Engineering and Technology,
Year : 2015
Amrita SRE Database: A Database for Evaluating Speaker Recognition Systems with Mimicked Speech
Cite this Research Publication :
K. K. George, Dr. Santhosh Kumar C., Sreekumar, K. T., K Das, A., Thottupattu, A. J., Kumar, M. S., and Dr. K. I. Ramachandran, “Amrita SRE Database: A Database for Evaluating Speaker Recognition Systems with Mimicked Speech”, 2015.
Publisher : (2015)
Year : 2014
Towards enhancing the performance of multi-parameter patient monitors
Cite this Research Publication :
V. Vaijeyanthi, Vishnuprasad, K., Dr. Santhosh Kumar C., Dr. K. I. Ramachandran, Gopinath, R., A Kumar, A., and Yadav, P. Kumar, “Towards enhancing the performance of multi-parameter patient monitors”, Healthcare technology letters, vol. 1, p. 19, 2014.
Publisher : Healthcare technology letters, IET: Institution of Engineering and Technology,
Year : 2014
A novel heart sound activity detection framework for automated heart sound analysis
Cite this Research Publication :
V. N. Varghees and Dr. K. I. Ramachandran, “A novel heart sound activity detection framework for automated heart sound analysis”, Biomedical Signal Processing and Control, vol. 13, pp. 174-188, 2014.
Publisher : Biomedical Signal Processing and Control
Year : 2014
Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques
Cite this Research Publication :
T. Praveenkumar, Dr. Saimurugan M., Krishna Kumar P., and Dr. K. I. Ramachandran, “Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques”, Procedia Engineering, vol. 97, pp. 2092–2098, 2014.
Publisher : Procedia Engineering
Year : 2014
A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis
Cite this Research Publication :
Dr. Saimurugan M. and Dr. K. I. Ramachandran, “A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis”, International Journal of Data Analysis Techniques and Strategies, vol. 6, pp. 188–204, 2014.
Publisher : International Journal of Data Analysis Techniques and Strategies
Year : 2013
Novel approach for energy conservation by raw material preheating in green sand casting
Cite this Research Publication : J. Selvaraj, Dr. K. I. Ramachandran, and Keshore, D., “Novel approach for energy conservation by raw material preheating in green sand casting”, International Journal of ChemTech Research, vol. 5, pp. 871-879, 2013.
Publisher : International Journal of ChemTech Research
Year : 2013
Finite element simulation of effect of residual stresses during orthogonal machining using ALE
Cite this Research Publication :
Prakash Marimuthu K., Krishna Kumar P., K. Ramesh Kumar, and Dr. K. I. Ramachandran, “Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach”, International Journal of Machining and Machinability of Materials, vol. 14, pp. 213–229, 2013.
Publisher : International Journal of Machining and Machinability of Materials, Inderscience
Year : 2013
Application-Specific fine tuning of multi-Parameter patient monitors
Cite this Research Publication :
V. Vaijeyanthi, Kumar, C. S., Dr. K. I. Ramachandran, Joy, J. K., and Kumar, A. A., “Application-specific fine tuning of multi-parameter patient monitors”, Electronics Letters, vol. 49, pp. 1432-1433, 2013.
Publisher : Electronics Letters
Year : 2012
Artificial Intelligence Based Green Technology Retrofit for Misfire Detection in Old Engines
Cite this Research Publication :
B. Devasenapati and Dr. K. I. Ramachandran, “Artificial Intelligence Based Green Technology Retrofit for Misfire Detection in Old Engines”, International Journal of Green Computing, vol. 3, pp. 43-55, 2012.
Publisher : International Journal of Green Computing,
Year : 2012
Energy conservation in aluminium foundries by waste heat recovery from solidifying molten metal
Cite this Research Publication : J. Selvaraj and Dr. K. I. Ramachandran, “Energy conservation in aluminium foundries by waste heat recovery from solidifying molten metal”, International Journal of Energy Technology and Policy, vol. 8, pp. 32-49, 2012.
Publisher : International Journal of Energy Technology and Policy
Year : 2011
Neural Predictive Controller Based Diesel Injection Management System for Emission Minimisation
Cite this Research Publication :
C. Arunaa, Devasenapati, B., Dr. K. I. Ramachandran, Vishnuprasad, K., and Surendra, C., “Neural Predictive Controller Based Diesel Injection Management System for Emission Minimisation”, IJGC, vol. 2, pp. 63-82, 2011.
Publisher : IJGC
Year : 2011
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine
Cite this Research Publication :
Dr. Saimurugan M., Dr. K. I. Ramachandran, Sugumaran, V., and Dr. Sakthivel N.R., “Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine”, Expert Systems with Applications, vol. 38, pp. 3819-3826, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Machine learning approach for automated visual inspection of machine components
Cite this Research Publication : Sa Ravikumar, Dr. K. I. Ramachandran, and Sugumaran, Vb, “Machine learning approach for automated visual inspection of machine components”, Expert Systems with Applications, vol. 38, pp. 3260-3266, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Hybrid fuzzy model based expert system for misfire detection in automobile engines
Cite this Research Publication :
B. S. Devasenapati and Ramachandran, K. I., “Hybrid fuzzy model based expert system for misfire detection in automobile engines”, International Journal of Artificial Intelligence, vol. 7, pp. 47-62, 2011.
Publisher : International Journal of Artificial Intelligence
Year : 2011
Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning
Cite this Research Publication : Va Sugumaran and Dr. K. I. Ramachandran, “Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning”, Expert Systems with Applications, vol. 38, pp. 4901-4907, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm
Cite this Research Publication :
Dr. Elangovan M., S Devasenapati, B., Dr. Sakthivel N.R., and Dr. K. I. Ramachandran, “Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm”, Expert Systems with Applications, vol. 38, no. 4, pp. 4450–4459, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool
Cite this Research Publication : Dr. Elangovan M., Sugumaran, V., Dr. K. I. Ramachandran, and Ravikumar, S., “Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool”, Expert Systems with Applications, vol. 38, no. 12, pp. 15202–15207, 2011.
Publisher : Elsevier
Year : 2011
Effect of number of features on classification of roller bearing faults using SVM and PSVM
Cite this Research Publication : Va Sugumaran and Dr. K. I. Ramachandran, “Effect of number of features on classification of roller bearing faults using SVM and PSVM”, Expert Systems with Applications, vol. 38, pp. 4088-4096, 2011.
Publisher : Expert Systems with Applications
Year : 2011
Computational Modeling and Simulation of Nano Molecular Switch for Alzheimers Disease (A Gene Silencing Technique)
Cite this Research Publication :
Radhagayathri K. U., Krishnan Namboori P.K., V.P. Mohandas, T. Subeesh, Deepa Gopakumar and K.I. Ramachandran, Computational Modeling and Simulation of Nano Molecular Switch for Alzheimers Disease (A Gene Silencing Technique), International Journal of Nanoscience, vol. 10, pp. 319-322, 2011.
Publisher : International Journal of Nanoscience
Year : 2010
Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)
Cite this Research Publication : N. Saravanan and Dr. K. I. Ramachandran, “Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)”, Expert Systems with Applications, vol. 37, pp. 4168 - 4181, 2010.
Publisher : Expert Systems with Applications,
Year : 2010
Misfire Detection in Spark Ignition Engine using Support Vector Machines
Cite this Research Publication :
D. S. Babu, Dr. K. I. Ramachandran, and Sugumaran, V., “Misfire Detection in Spark Ignition Engine using Support Vector Machines”, International Journal of Computer Applications, vol. 5, 2010.
Publisher : International Journal of Computer Applications
Year : 2010
Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features
Cite this Research Publication : Dr. Elangovan M., Dr. K. I. Ramachandran, and Sugumaran, V., “Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features”, Expert Systems with Applications, vol. 37, no. 3, pp. 2059–2065, 2010.
Publisher : Elsevier
Year : 2010
Misfire Identification in A Four-Stroke Four-Cylinder Petrol Engine Using Decision Tree
Cite this Research Publication :
B. S Devasenapati, Sugumaran, V., and Dr. K. I. Ramachandran, “Misfire Identification in A Four-Stroke Four-Cylinder Petrol Engine Using Decision Tree”, Expert Systems with Applications, vol. 37, pp. 2150–2160, 2010.
Publisher : Elsevier
Year : 2010
Generalized Dimensional Analysis – A Simplification
Cite this Research Publication :
P. N Narayana and Ramachandran, K. I., “Generalized Dimensional Analysis - A Simplification”, International Journal of Applied Engineering Research, vol. 5, pp. 2763–2774, 2010.
Publisher : International Journal of Applied Engineering Research
Year : 2010
Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)
Cite this Research Publication :
N. Saravanan, Siddabattuni, V. N. S., and Dr. K. I. Ramachandran, “Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)”, Applied Soft Computing, vol. 10, pp. 344–360, 2010.
Publisher : Elsevier
Year : 2009
Wavelet Selection Using Decision Tree for Fault Diagnosis of Roller Bearings
Cite this Research Publication :
V. Sugumaran and Dr. K. I. Ramachandran, “Wavelet Selection Using Decision Tree for Fault Diagnosis of Roller Bearings”, International Journal of Applied Engineering Research, vol. 4, pp. 201-225, 2009.
Publisher : International Journal of Applied Engineering Research
Year : 2009
Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique
Cite this Research Publication :
N. Saravanan, Cholairajan, S., and Dr. K. I. Ramachandran, “Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique”, Expert Systems with Applications, vol. 36, no. 2, pp. 3119–3135, 2009.
Publisher : Elsevier
Year : 2009
Static and Dynamic Analysis of Asymmetric Bevel Gears using Finite Element Method.
Cite this Research Publication :
N. Saravanan, Siddabattuni, V. N. S., and Dr. K. I. Ramachandran, “Static and Dynamic Analysis of Asymmetric Bevel Gears using Finite Element Method.”, International Journal of Applied Engineering Research, vol. 4, pp. 645-664, 2009.
Publisher : International Journal of Applied Engineering Research
Year : 2009
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification
Cite this Research Publication :
N. Saravanan and Dr. K. I. Ramachandran, “Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification”, Expert Systems with Applications, vol. 36, pp. 9564–9573, 2009.
Publisher : Elsevier
Year : 2009
A case study on classification of features by fast single-shot multiclass PSVM using Morlet wavelet for fault diagnosis of spur bevel gear box
Cite this Research Publication :
N. Saravanan and Dr. K. I. Ramachandran, “A case study on classification of features by fast single-shot multiclass PSVM using Morlet wavelet for fault diagnosis of spur bevel gear box”, Expert Systems with Applications, vol. 36, pp. 10854–10862, 2009.
Publisher : Elsevier
Year : 2008
Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine
Cite this Research Publication :
V. Sugumaran, Sabareesh, G. R., and Dr. K. I. Ramachandran, “Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine”, Expert Systems with Applications, vol. 34, pp. 3090–3098, 2008.
Publisher : Expert Systems with Applications
Year : 2008
A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box
Cite this Research Publication :
N. Saravanan, Siddabattuni, V. N. S. Kumar, and Dr. K. I. Ramachandran, “A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box”, Expert systems with applications, vol. 35, pp. 1351–1366, 2008.
Publisher : Expert systems with applications
Year : 2007
Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing
Cite this Research Publication :
V. Sugumaran, Muralidharan, V., and Dr. K. I. Ramachandran, “Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing”, Mechanical Systems and Signal Processing, vol. 21, pp. 930–942, 2007.
Publisher : Mechanical Systems and Signal Processing
Year : 2007
Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing
Cite this Research Publication :
V. Sugumaran and Dr. K. I. Ramachandran, “Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing”, Mechanical Systems and Signal Processing, vol. 21, pp. 2237–2247, 2007.
Publisher : Mechanical Systems and Signal Processing