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Dr ALAMELU MANGHAI T M

vidwan id: 608161

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

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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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

Vibration based real time brake health monitoring system - A machine learning approach

Open Access
journal-article
Authors: Alamelu Manghai, T.M.;Jegadeeshwaran, R.

Real time condition monitoring of hydraulic brake system using naive bayes and bayes net algorithms

Open Access
journal-article
Authors: Alamelu Manghai, T.M.;Jegadeeshwaran, R.;Sakthivel, G.

Vibration based brake health monitoring using wavelet features: A machine learning approach

Open Access
journal-article

Application of FURIA for finding the faults in a hydraulic brake system using a vibration analysis through a machine learning approach

Open Access
Article

Vibration based tool insert health monitoring using decision tree and fuzzy logic

Open Access
Article
Authors: Shantisagar K.;Jegadeeshwaran R.;Sakthivel G.;Alamelu Manghai T.

Vibration based condition monitoring of a brake system using statistical features with logit boost and simple logistic algorithm

Open Access
Article

Feature-based vibration monitoring of a hydraulic brake system using machine learning

Open Access
journal-article

Brake fault diagnosis through machine learning approaches - A review

Open Access
Review
Authors: Alamelu Manghai T.M.;Jegadeeshwaran R.;Sugumaran V.
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