Fault classification of cooling fans using a CNN-based approach
In industries, cooling fans are vital in a wide range of machines to ensure a tolerable temperature for their intricate electronic components. Therefore, to avoid machine failure, a fault condition monitoring (FCM) system for cooling fans can be highly valuable. One way to monitor defects in rotatio...
Main Authors: | Sharrar, Labib, Danapalasingam, Kumeresan A. |
---|---|
Format: | Conference or Workshop Item |
Published: |
2022
|
Subjects: |
Similar Items
-
Fault classification of cooling fans using a CNN-based approach
by: Sharrar, Labib, et al.
Published: (2022) -
Intelligent vibration analysis of industrial cooling fans
by: Sharrar, Labib, et al.
Published: (2022) -
Long short-term memory autoencoder-based anomaly detection system for electric motors
by: Sharrar, Labib
Published: (2022) -
Design of a simulator for elevator supevisory group controller using ordinal structure fuzzy reasoning with context adaptation
by: Danapalasingam, Kumeresan A.
Published: (2005) -
Energy optimization of brushed DC motor in electric power-assisted steering
by: Danapalasingam, Kumeresan A.
Published: (2014)