Output details
15 - General Engineering
University of Huddersfield
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Output 0 of 0 in the submission
Article title
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine
Type
D - Journal article
Title of journal
Mechanical Systems and Signal Processing
Article number
-
Volume number
32
Issue number
-
First page of article
320
ISSN of journal
0888-3270
Year of publication
2012
Number of additional authors
3
Additional information
This output focuses on remaining useful life (RUL) which is the final goal of machine prognosis. The novelty of this work is that the RUL of machine is accurately estimated based on only normal operation data (healthy data) whereas all previous studies needed both normal and failure data to generate the forecasting model. This output also proposes a new indicator which is simple and easy to assess the machine degradation. Based on the survival function created according to the indicator, the RUL values are precisely predicted.
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
-