Output details
15 - General Engineering
University of Huddersfield
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Article title
Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis
Type
D - Journal article
Title of journal
Mechanical Systems and Signal Processing
Article number
-
Volume number
38
Issue number
2
First page of article
601
ISSN of journal
0888-3270
Year of publication
2013
Number of additional authors
3
Additional information
This work presents a novel image processing method based on bi-dimensional empirical mode decomposition for enhancement of the quality of the image. The output is utilized for a framework implementing infrared thermal image to diagnose the faults of rotating machinery. Compared with the original methods, the enhanced image provides better quality and the useful information can be easily extracted resulting in improved accuracy of fault diagnosis.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-