Feature Extraction and Classification for Detecting the Thermal Faults in Electrical Installations
This paper proposed an effort to investigate the suitability of input features and classifier for identifying thermal faults within electrical installations. The features are extracted from the thermal images of electrical equipment and classified using a multilayered perceptron (MLP) artificial neu...
Saved in:
Main Authors: | M. S., Jadin, Kamarul Hawari, Ghazali, Soib, Taib |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2014
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6342/ http://dx.doi.org/10.1016/j.measurement.2014.07.010 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detecting ROIs in the Thermal Image of Electrical Installations
by: M. S., Jadin, et al.
Published: (2014) -
Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
by: M. S., Jadin, et al.
Published: (2013) -
Finding Region of Interest in the Infrared Image of Electrical Installation
by: M. S., Jadin, et al.
Published: (2015) -
Finding Rois in Infrared Image of Electrical Installation for Qualitative Thermal Condition Evaluation
by: M. S., Jadin, et al.
Published: (2012) -
Infrared Image Enhancement and Segmentation for Extracting the Thermal Anomalies in Electrical Equipment
by: M. S., Jadin, et al.
Published: (2012)