Izaz Raouf

According to our database, Izaz Raouf authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network.

Izaz Raouf, Prashant Kumar, Heung Soo Kim

Expert Syst. Appl., 2024

Multi-size wide kernel convolutional neural network for bearing fault diagnosis.

Prashant Kumar, Izaz Raouf, Jinwoo Song, Prince, Heung Soo Kim

Adv. Eng. Softw., 2024

Transfer learning for servomotor bearing fault detection in the industrial robot.

Prashant Kumar, Izaz Raouf, Heung Soo Kim

Adv. Eng. Softw., 2024

2023

Review on prognostics and health management in smart factory: From conventional to deep learning perspectives.

Prashant Kumar, Izaz Raouf, Heung Soo Kim

Eng. Appl. Artif. Intell., November, 2023

2022

Prognostic health management of the robotic strain wave gear reducer based on variable speed of operation: a data-driven via deep learning approach.

Izaz Raouf, Hyewon Lee, Yeong Rim Noh, Byeng Dong Youn, Heung Soo Kim

J. Comput. Des. Eng., 2022

Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach.

Izaz Raouf, Hyewon Lee, Heung Soo Kim

J. Comput. Des. Eng., 2022

2021

Numerical Investigation of Ferrofluid Preparation during In-Vitro Culture of Cancer Therapy for Magnetic Nanoparticle Hyperthermia.

Izaz Raouf, Piotr Gas, Heung Soo Kim

Sensors, 2021

Autonomous Assessment of Delamination Using Scarce Raw Structural Vibration and Transfer Learning.

Asif Khan, Salman Khalid, Izaz Raouf, Jung-Woo Sohn, Heung Soo Kim

Sensors, 2021

2020

Rotate Vector (RV) Reducer Fault Detection and Diagnosis System: Towards Component Level Prognostics and Health Management (PHM).

Ali Rohan, Izaz Raouf, Heung Soo Kim

Sensors, 2020