Ministry of Education
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Dr Sidra Khanam

vidwan id: 289658
Female

Assistant Professor, Department of Mechanical Engineering
Aligarh Muslim University

Orchid Icon 0000-0001-7446-5386 Google Scholar Icon 55462527300 Google Scholar Icon dvqSl2YAAAAJ

Expertise

  • Mechanical Engineering

Publications

Total Articles 35
Books 0
Proceedings 0

Publications

No publication activity to display at the moment.

Scopus

Citations 294
h-index 8

CrossRef

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Citations 86
h-index 3
Google Scholar

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Professional Recognition

2022

Nicolas Leonard Teaching Excellence Award 2022

by International Multidisciplinary Research Foundation (IMRF) (Regd. with Govt. of India NITI Aayog
2021

International Young Researcher Award 2021

Center for Professional Advancement Continuous Education-CPACE (A unit of IMRF Regd. with Govt. of I
2018

Young Woman Award in Mechanical Engineering

Venus International Women Awards (VIWA 2018)
2014

International Travel Grant

DST
2009

Maulana Tufail Ahmad Medal for first position in Mechanical Engg.

AMU
2022

Dr. Sarvepalli Radhakrishnan Best Faculty and Researcher Award

by International Multidisciplinary Research Foundation (IMRF) (Regd. with Govt. of India NITI Aayog
2022

Dr. APJ Abdul Kalam Best teacher Award 2022

Center for Professional Advancement Continuous Education -CPACE (A unit of IMRF Regd. with Govt. of
2023

Outstanding Faculty in Mechanical Engineering

Venus International Faculty Awards (VIFA)

Community & Membership

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International Multidisciplinary Research Foundation (IMRF)

2022
Annual Member

International Institute of Acoustics and Vibration (IIAV)

2021
Member

Center for Professional Advancement for Continuous Education (CPACE)

2021
Annual Member

Condition Monitoring Society of India (CMSI)

2019
Executive Committee (EC) Member

The Institution of Engineers (India):

2019
Associate Member

Condition Monitoring Society of India (CMSI)

2017
Life Member

Acoustical Society of India (ASI)

2017
Life Member

American Society of Mechanical Engineers (ASME)

2014
Student Member

Bio

Machinery Dynamics, Machinery fault diagnosis, vibration analysis of rolling bearings with defect, signal analysis for machinery health prediction

Personal Details

  • Female
  • Assistant Professor , Aligarh Muslim University
  • ZHCET, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
Ph. D.
Other Institute 2016
B.Tech
Other Institute 2009
Assistant Professor Jul 2016 – Present
Aligarh Muslim University | Department of Mechanical Engineering

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Co-Authors (4)

Jayanta Kumar

Prof Jayanta Kumar Dutt

Indian Institute of Technology Delhi

Naresh

Prof Naresh Tandon

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Muzakkir

Prof Muzakkir S M

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Scholarly Work

Vibration Study of Multiple Defects in Rolling Element Bearings

Funding Agency: University Grants Commission, New Delhi, India

Principal Investigator

Rs. 100000

2017 - 2020

Completed

Some studies on fault detection in engineering system

University Jamia Millia Islamia, India
Year 2023
No Data Found

There is currently nothing to display here.

Scholarly Publications

Identifying Condition Indicators for Artificially Intelligent Fault Classification in Rolling Element Bearings

Open Access
Conference Paper
Year: 2023. Volume: 137 , Pages: 323-335 .
Authors: Jamil M.A.;Khanam S.
DOI 10.1007/978-981-99-4721-8_22

Intelligent Prediction of Multiple Defects in Rolling Element Bearing using ANN Algorithm

Open Access
Conference Paper
Year: 2022.
Authors: Khan M.A.A.;Jamil M.A.;Khanam S.
DOI 10.1109/IMPACT55510.2022.10029154
3

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
Erratum
Year: 2022. Volume: 40 , Pages: 139 .
Authors: Jamil M.A.;Ali Khan M.A.;Khanam S.
DOI 10.21595/vp.2021.22353

Classification of Bearing Faults using Discrete Wavelet Packet Analysis and Support Vector Machine

Open Access
Conference Paper
Year: 2022.
Authors: Saad A.A.;Khanam S.
DOI 10.1109/IMPACT55510.2022.10029049
2

Enhancing the Classification Performance of Machine Learning Techniques by Using Hjorth's and Other Statistical Parameters for Precise Tracking of Naturally Evolving Faults in Ball Bearings,

Open Access
article
Year: 2022. Volume: 27 , Pages: 138-150 .
Authors: Mufazzal, S., Muzakkir, SM., Khanam, S.,

Fault Classification of Rolling Element Bearing in Machine Learning Domain

Open Access
Article
Year: 2022. Volume: 27 , Issue: 2 , Pages: 77-90 .
Authors: Jamil M.A.;Khanam S.
DOI 10.20855/ijav.2022.27.21829
8

Investigation into Bearing Fault Classification using Various Feature Set Combinations in KNN

Open Access
Conference Paper
Year: 2022.
Authors: Saleem Z.;Mudassir M.;Khanam S.
DOI 10.1109/IMPACT55510.2022.10029053
1

Enhancing the Classification Performance of Machine Learning Techniques by Using Hjorth’s and Other Statistical Parameters for Precise Tracking of Naturally Evolving Faults in Ball Bearings

Open Access
Article
Year: 2022. Volume: 27 , Issue: 2 , Pages: 138-150 .
Authors: Mufazzal S.;Muzakkir S.M.;Khanam S.
DOI 10.20855/ijav.2022.27.21847
5