Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model
Author
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Prognostics health management (PHM) of rotating machinery has become an important process for increasing reliability and reducing machine malfunctions in industry.
Bearings are one of the most important equipment parts and are also one of the most common failure points.
To assess the degradation of a machine, this paper presents a bearing remaining useful life (RUL) prediction method.
The method relies on a novel health indicator and a linear degradation model to predict bearing RUL.
The health indicator is extracted by using Hilbert–Huang entropy to process horizontal vibration signals obtained from bearings.
We present a linear degradation model to estimate RUL using this health indicator.
In the training phase, the degradation detection threshold and the failure threshold of this model are estimated by the distribution of 600 bootstrapped samples.
These bootstrapped samples are taken from the six training sets.
In the test phase, the health indicator and the model are used to estimate the bearing’s current health state and predict its RUL.
This method is suitable for the degradation of bearings.
The experimental results show that this method can effectively monitor bearing degradation and predict its RUL.
American Psychological Association (APA)
Zheng, Yuhuang. 2019. Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1173699
Modern Language Association (MLA)
Zheng, Yuhuang. Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1173699
American Medical Association (AMA)
Zheng, Yuhuang. Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1173699
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173699