Dr Sidra Khanam
Assistant Professor
| Department of Mechanical Engineering
Aligarh Muslim University, Aligarh
Uttar Pradesh
Expertise:
Mechanical Engineering
23
Publications
1
Projects
357
Scopus Citations
292
CrossRef
10 Years 2 Months Total Experience
Scopus
357
Citations
8
h-index
CrossRef
292
Citations
7
h-index
Google Scholar
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Professional Recognition
Nicolas Leonard Teaching Excellence Award 2022
2022
by International Multidisciplinary Research Foundation (IMRF) (Regd. with Govt. of India NITI Aayog
International Young Researcher Award 2021
2021
Center for Professional Advancement Continuous Education-CPACE (A unit of IMRF Regd. with Govt. of I
Young Woman Award in Mechanical Engineering
2018
Venus International Women Awards (VIWA 2018)
International Travel Grant
2014
DST
Maulana Tufail Ahmad Medal for first position in Mechanical Engg
2009
AMU
Dr. Sarvepalli Radhakrishnan Best Faculty and Researcher Award
2022
by International Multidisciplinary Research Foundation (IMRF) (Regd. with Govt. of India NITI Aayog
Dr. APJ Abdul Kalam Best teacher Award 2022
2022
Center for Professional Advancement Continuous Education -CPACE (A unit of IMRF Regd. with Govt. of
Outstanding Faculty in Mechanical Engineering
2023
Venus International Faculty Awards (VIFA)
Community & Membership
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Condition Monitoring Society of India (CMSI)
Executive Committee (EC) MemberInternational Institute of Acoustics and Vibration (IIAV)
MemberCondition Monitoring Society of India (CMSI)
Life MemberAcoustical Society of India (ASI)
Life MemberThe Institution of Engineers (India)
Associate MemberAmerican Society of Mechanical Engineers (ASME)
Student MemberCenter for Professional Advancement for Continuous Education (CPACE)
Annual MemberInternational Multidisciplinary Research Foundation (IMRF)
Annual MemberPersonal Details
Doctor of Philosophy
2016
N/A
Bachelor of Technology
2009
N/A
Assistant Professor
Jul 2016 – Present
Aligarh Muslim University, Aligarh
| Department of Mechanical Engineering
Engineering and Technology
Scholarly Work
Vibration Study of Multiple Defects in Rolling Element Bearings
CompletedSome studies on fault detection in engineering system
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Scholarly Publications
Force analysis due to local defect in rolling bearings for fault diagnosis
Defect detection methods for gears- A review
Investigations into Some Parameters of Vibration Signal of Faulty Bearings with Wavelet Transform
Dynamic Analysis for Healthy and Defective Gears: A Review
Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults
Open AccessInvestigation into Bearing Fault Classification using Various Feature Set Combinations in KNN
Intelligent Prediction of Multiple Defects in Rolling Element Bearing using ANN Algorithm
Erratum: Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults (Vibroengineering Procedia (2021) 39 (36-42) DOI: 10.21595/vp.2021.22307)
Open Access
Showing 1 to 8 of 23 publications