Ministry of Education
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Dr ALAMELU MANGHAI T M

vidwan id: 608161

Assistant Professor, Department of CSE (Internet of Things)
Nandha Engineering College

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Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 16
Books 0
Proceedings 0

Publications

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Scopus

Citations 51
h-index 3

CrossRef

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Citations 74
h-index 5
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Professional Recognition

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Community & Membership

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INDIAN SOCIETY FOR TECHNICAL EDUCATION

2024
Lifetime member ship

Bio

I am a very curious researcher in the field of condition monitoring of the brake system.

Personal Details

  • Assistant Professor , Nandha Engineering College
  • Nandha Engineering College (Autonomous), Perundurai, Erode.
Ph.D
Other Institute 2023
M.E
Other Institute 2016
B.E
Vivekanandha College of Engineering for Women 2014
Assistant Professor Jun 2024 – Present
Nandha Engineering College | Department of CSE (Internet of Things)
Junior Research Fellow May 2017 – May 2020
VIT University (Chennai Campus)

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Scholarly Work

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Scholarly Publications

Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning With Wavelet Features

Open Access
journal-article
IEEE Access. Year: 2024. Volume: 12 , Pages: 177442-177455 .
Authors: G. Sakthivel;D. Saravanakumar;R. Jegadeeshwaran;R. Rajakumar;T. M. Alamelu Manghai;S. Abirami
DOI 10.1109/ACCESS.2024.3505254

Application of Artificial Immune Recognition System for Monitoring the Brake System Using Vibration-Based Statistical Learning

Open Access
journal-article
IEEE Consumer Electronics Magazine. Year: 2022. Volume: 11 , Issue: 4 , Pages: 85-91 .
Authors: Jegadeeshwaran, R.;Sakthivel, G.;Saravanakumar, D.;Alamelu Manghai, T. M.;Sivakumar, R.
DOI 10.1109/MCE.2021.3115731
1

Vibration-Based Fault Diagnosis Study on a Hydraulic Brake System Using Fuzzy Logic with Histogram Features

Open Access
journal-article
Year: 2022.
Authors: Marimuthu, A.M.T.;Rakkiyannan, J.;Jakkamputi, L.;Vaithiyanathan, S.;Gnanasekaran, S.

Vibration-based brake health prediction using statistical features-A machine learning framework

Open Access
journal-article
Year: 2021. Volume: 46 , Pages: 1167-1173 .
Authors: Pranesh, Hari;Suresh, Khiran;Manian, Swetha S.;Jegadeeshwaran, R.;Sakthivel, G.;Manghi, T. M. Alamelu
DOI 10.1016/J.MATPR.2021.02.060
6

Application of Meta family Classifiers for monitoring hydraulic brake system using vibration based statistical learning approach

Open Access
Conference Paper
Year: 2021. Volume: 1969 , Issue: 1 .
Authors: Wagh M.N.;Alamelu Manghai T.M.;Jegadeeshwaran R.;Saravanakumar D.;Raghukiran N.
DOI 10.1088/1742-6596/1969/1/012050
1 1

Real Time Condition Monitoring on Brakes using Machine Learning Techniques

Open Access
Conference Paper
Year: 2020.
Authors: Jayakrishnan J.;Alamelu Manghai T.M.;Jegadeeshwaran R.
DOI 10.1109/AISP48273.2020.9073173
1 2

Vibration-Based Fault Detection in a Hydraulic Brake System using Artificial Immune Recognition System with Statistical Features

Open Access
conference-paper
Year: 2020.
Authors: Manghai, Alamelu T. M.;Jegadeeshwaran, R.;Sakthivel, G.;Saravanakumar, D.;Sivakumar, R.
DOI 10.1109/ISES50453.2020.00049
1

Condition monitoring of hydraulic brake system using rough set theory and FUZZY rough nearest neighbor learning algorithms

Open Access
Conference Paper
Year: 2019. Pages: 229-232 .
Authors: Alamelu Manghai T.M.;Jegadeeshwaran R.;Sakthivel G.;Sivakumar R.;Saravana Kumar D.
DOI 10.1109/iSES47678.2019.00058
2 3