6 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.SP2025
An enhanced statistical feature fusion approach using an improved distance evaluation algorithm and weighted K-nearest neighbor for bearing fault diagnosis
Amir Eshaghi Chaleshtori, Abdollah Aghaie
Bearings are among the most failure-prone components in rotating machinery, and their condition directly impacts overall performance. Therefore, accurately diagnosing bearing fault…
eess.SP2024
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis
Amir Eshaghi Chaleshtori, Abdollah Aghaie
Several methods have been proposed to identify which sensor sets are optimal for finding and localizing faults under different conditions for mechanical equipment. In order to pres…
eess.SP2022★ 6 cited
Data fusion techniques for fault diagnosis of industrial machines: a survey
Amir Eshaghi Chaleshtori, Abdollah aghaie
In the Engineering discipline, predictive maintenance techniques play an essential role in improving system safety and reliability of industrial machines. Due to the adoption of cr…