S. Fatima

发表

Recycled materials as a potential replacement to synthetic sound absorbers: A study on denim shoddy and waste jute fibers

Naresh Tandon, Shahab Fatima, N. Tandon, 2020 .

A study of areca nut leaf sheath fibers as a green sound-absorbing material

N. Tandon, M. Raj, S. Fatima, 2020 .

Shaft misalignment detection by thermal imaging of support bearings

A. Mohanty, S. Fatima, 2015 .

A misalignment detection methodology by measuring rate of temperature rise of shaft coupling using thermal imaging

A. Mohanty, V. Naikan, S. Fatima, 2015 .

Performance Evaluation of Support Vector Machine for System Level Multi-fault Diagnosis

A. Mohanty, S. Fatima, Anurag Choudhary, 2022, 2022 Prognostics and Health Management Conference (PHM-2022 London).

An intelligent bearing fault diagnosis based on hybrid signal processing and Henry gas solubility optimization

S. Fatima, Anurag Choudhary, R. K. Mishra, 2022, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

An efficient diagnosis approach for bearing faults using sound quality metrics

S. Fatima, Anurag Choudhary, Tauheed Mian, 2022, Applied Acoustics.

A Fault Diagnosis Approach Based on 2D-Vibration Imaging for Bearing Faults

A. Mohanty, S. Fatima, Anurag Choudhary, 2022, Journal of Vibration Engineering & Technologies.

A self-adaptive multiple-fault diagnosis system for rolling element bearings

B. K. Panigrahi, A. Mohanty, S. Fatima, 2022, Measurement Science and Technology.

Multi-domain Bearing Fault Diagnosis using Support Vector Machine

A. Mohanty, S. Fatima, Anurag Choudhary, 2021, 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON).

An experimental and theoretical study on environment-friendly sound absorber sourced from nettle fibers

N. Tandon, M. Raj, S. Fatima, 2020 .

Transducer invariant multi-class fault classification in a rotor-bearing system using support vector machines

Amiya R Mohanty, Vallayil N. A. Naikan, S. Fatima, 2014 .

Acoustical and fire-retardant properties of jute composite materials

Amiya R Mohanty, S. Fatima, A. Mohanty, 2011 .

Fault Diagnosis of Electric Two-Wheeler Under Pragmatic Operating Conditions Using Wavelet Synchrosqueezing Transform and CNN

S. Fatima, Anurag Choudhary, Tauheed Mian, 2023, IEEE Sensors Journal.

Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor

S. Fatima, Anurag Choudhary, B. Panigrahi, 2023, Eng. Appl. Artif. Intell..

Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images

Anurag Choudhary, Tauheed Mian, Shahab Fatima, 2021 .

Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning

S. Fatima, Anurag Choudhary, Tauheed Mian, 2022, Nondestructive Testing and Evaluation.

Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor

S. Fatima, Anurag Choudhary, Tauheed Mian, 2022, IEEE International Conference on Power Electronics, Drives and Energy Systems.

Passive Thermography Based Bearing Fault Diagnosis Using Transfer Learning With Varying Working Conditions

S. Fatima, Anurag Choudhary, Tauheed Mian, 2023, IEEE Sensors Journal.

Passive Thermal Imaging-based Fault Detection in Induction Motor Under Varying Speed Conditions

S. Fatima, Anurag Choudhary, B. Panigrahi, 2022, 2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT).

Fault Diagnosis of Induction Motor Under Varying Operating Condition

S. Fatima, Anurag Choudhary, R. K. Mishra, 2022, 2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET).

State-of-the-Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review

S. Fatima, Anurag Choudhary, B. Panigrahi, 2023, IEEE Transactions on Transportation Electrification.

Biocomposites for Industrial Noise Control

A. Mohanty, S. Fatima, 2015 .

Development of an experimental set-up to measure sound absorption coefficients of porous materials

M. Raj, S. Fatima, Naresh Tandon, 2020, Sādhanā.

Multiple Fault Classification Using Support Vector Machine in a Machinery Fault Simulator

Amiya R Mohanty, Vallayil N. A. Naikan, S. Fatima, 2015 .

Nature‐inspired artificial bee colony‐based hyperparameter optimization of CNN for anomaly detection in induction motor

S. Fatima, Anurag Choudhary, Tauheed Mian, 2023, Expert systems.