Sidra Khanam

Sidra Khanam

Aligarh Muslim University

H-index: 7

Asia-India

About Sidra Khanam

Sidra Khanam, With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Aligarh Muslim University, specializes in the field of Condition monitoring of bearings.

His recent articles reflect a diverse array of research interests and contributions to the field:

Influence of one-way ANOVA and Kruskal–Wallis based feature ranking on the performance of ML classifiers for bearing fault diagnosis

On the Importance of Modeling Ball Raceway Impact Force for Evaluating the Plastic Deformation at Spall Edge of Rolling Element Bearing: Theoretical Modeling

A dynamic model for simulating vibration response of ball bearings with extended outer race defects for precise spall size estimation

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

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

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

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

Fault Classification of Rolling Element Bearing in Machine Learning Domain

Sidra Khanam Information

University

Position

Assistant Professor Machine Design Research GroupZHCET Department of Mechanical Engineering

Citations(all)

330

Citations(since 2020)

215

Cited By

191

hIndex(all)

7

hIndex(since 2020)

6

i10Index(all)

7

i10Index(since 2020)

6

Email

University Profile Page

Aligarh Muslim University

Google Scholar

View Google Scholar Profile

Sidra Khanam Skills & Research Interests

Condition monitoring of bearings

Top articles of Sidra Khanam

Title

Journal

Author(s)

Publication Date

Influence of one-way ANOVA and Kruskal–Wallis based feature ranking on the performance of ML classifiers for bearing fault diagnosis

Journal of Vibration Engineering & Technologies

Mohd Atif Jamil

Sidra Khanam

2023/6/12

On the Importance of Modeling Ball Raceway Impact Force for Evaluating the Plastic Deformation at Spall Edge of Rolling Element Bearing: Theoretical Modeling

Journal of Vibration Engineering & Technologies

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2024/2

A dynamic model for simulating vibration response of ball bearings with extended outer race defects for precise spall size estimation

Journal of Sound and Vibration

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2023/5/26

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

Zaufisha Saleem

Mantaza Mudassir

Sidra Khanam

2023/2

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

Md Asif Ali Khan

Mohd Atif Jamil

Sidra Khanam

2023/2

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

Afroz Ahmed Saad

Sidra Khanam

2023/2

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

learning

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2022

Fault Classification of Rolling Element Bearing in Machine Learning Domain

The International Journal of Acoustics and Vibration

Mohd Atif Jamil

S Khanam

2022/6

Intelligent Evaluation of Ball Bearing Health Degradation Using Wavelet Packet Transform and k-Nearest Neighbor

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2022/9/9

Effect of Information Sharing on Supply Chain Management: A Case Study

Shaista Hami

Monika Tanwar

Sidra Khanam

2021/7/17

Dynamic Analysis for Healthy and Defective Gears: A Review

Swati Gautam

Sidra Khanam

N Tandon

2021

Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults

Vibroengineering Procedia

Mohd Atif Jamil

Md Asif Ali Khan

Sidra Khanam

2021/12/2

Theoretical and experimental analyses of vibration impulses and their influence on accurate diagnosis of ball bearing with localized outer race defect

Journal of Sound and Vibration

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2021/11/24

Identifying condition indicators for artificially intelligent fault classification in rolling element bearings

Mohd Atif Jamil

Sidra Khanam

2021/12/16

Erratum: Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults

Mohd Atif Jamil

Md Asif Ali Khan

Sidra Khanam

2021

Numerical investigation of the effect of ball bearing geometry on oil film damping due to lubricated contact at different loads

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2021

Study of Time-Varying Oil Film Damping and Contact Stiffness of Ball Bearings

Sameera Mufazzal

SM Muzakkir

Sidra Khanam

2021/12/16

Investigations into Some Parameters of Vibration Signal of Faulty Bearings with Wavelet Transform

Sidra Khanam

N Tandon

2021

Condition Based Maintenance Policy for Crankcase Lubricating Oil in Diesel Locomotives

Monika Tanwar

Nagarajan Raghavan

Sidra Khanam

2021/12/13

See List of Professors in Sidra Khanam University(Aligarh Muslim University)

Co-Authors

H-index: 34
Prof. Naresh Tandon

Prof. Naresh Tandon

Indian Institute of Technology Delhi

H-index: 33
Nagarajan Raghavan

Nagarajan Raghavan

Singapore University of Technology and Design

H-index: 24
Jayanta Kumar Dutt

Jayanta Kumar Dutt

Indian Institute of Technology Delhi

H-index: 16
MUZAKKIR S M

MUZAKKIR S M

Jamia Millia Islamia

H-index: 3
Monika Tanwar

Monika Tanwar

Indian Institute of Technology Delhi

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