Dr Harish Chandra Das
Professor
| Department of Mechanical Engineering
National Institute of Technology Meghalaya
Meghalaya
Expertise:
Mechanics
159
Publications
0
Projects
753
Scopus Citations
568
CrossRef
22 Years 3 Months Total Experience
Scopus
753
Citations
15
h-index
CrossRef
568
Citations
13
h-index
Google Scholar
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Professional Recognition
BEST RESEARCHER
2018
IJRULA-2018
Community & Membership
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Personal Details
Doctor of Philosophy
2010
Rajiv Gandhi University, Itanagar
Master of Technology
2004
N/A
Professor
Dec 2017 – Present
National Institute of Technology Meghalaya
| Department of Mechanical Engineering
Professor
Jun 2010 – Mar 2023
Siksha 'O' Anusandhan
| Department of Mechanical Engineering
Assistant Professor
Jun 2004 – Mar 2023
Siksha 'O' Anusandhan
| Department of Mechanical Engineering
Engineering and Technology
Scholarly Work
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Multiple damage identification of beam structure using vibration analysis and artificial intelligence techniques
Fault diagnosis of dynamic structures using adaptive intelligent techniques
Date palm leaf – thermoplastic composite : an experimental study
Adoption of information technology and its effect on quality and performance in service industries
Intelligent condition monitoring of dynamic structures
Study on Various Emission Reduction Techniques And Its Effect on The Performance of Diesel Engine
GAIT Analysis and Path Planning of Humanoid Robots using Artificial Intelligence Technique
Design, development and performance analysis of a fluidized bed dryer
Experimental analysis for air conditioning in automobile cabin using engine waste energy
Parametric appraisal of FDM built parts under dynamic loading conditions
Vibration analysis of cracked composite structure
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Scholarly Publications
Experimental validation of numerical and fuzzy analysis of a faulty structure
Identification of crack location and intensity in a cracked beam by fuzzy reasoning
Diagnosis of fault and condition monitoring of dynamic structures using the multiple adaptive-neuro-fuzzy inference system technique
Application of Neural network for fault diagnosis of cracked cantilever beam
Detection of the crack in cantilever structures using fuzzy gaussian inference technique
Fuzzy-neuro controler for smart fault detection of a beam
Open AccessDamage analysis of cracked structure using fuzzy control technique
Scopus: 2
Online fuzzy logic crack detection of a cantilever beam
Showing 1 to 8 of 159 publications