Feature Extraction for Bearing Prognostics using Weighted Correlation Coefficient
نویسندگان
چکیده
منابع مشابه
Feature Evaluation for Effective Bearing Prognostics
Rolling element bearing failure is one of the foremost causes of breakdown in rotating machinery. It is not uncommon to replace a defected/used bearing with a new one that has shorter remaining useful life than the defected one. Thus, prognostics of bearing plays critical role for increased availability and reduced cost. Effective prognostics highly depend on the quality of the extracted featur...
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This paper describes a newly developed fault feature extraction method for bearing prognostics. The effectiveness of the method is demonstrated with real bearing run-to-failure test data. Experimental results show that with the growth of the bearing defective area, the method is able to indicate clearer trends than the traditional condition indicators, such as RMS, the peak value, the amplitude...
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Abstract The estimation of Remaining Useful Life (RUL) of industrial equipments can be realized on their most critical components. Based on this assumption, the identified critical component must be monitored to track its health state during its operation. Then, the acquired data are processed to extract relevant features, which are used for RUL estimation. This paper presents an evaluation met...
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Motivation Although there is a rich literature on methods for assessing the impact of functional predictors, the focus has been on approaches for dimension reduction that do not suit certain applications. Examples of standard approaches include functional linear models, functional principal components regression, and cluster-based approaches, such as latent trajectory analysis. This article is ...
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In order to process the vagueness in vibration fault diagnosis of rolling bearing, a new correlation coefficient of simplified neutrosophic sets (SNSs) is proposed. Vibration signals of rolling bearings are acquired by an acceleration sensor, and a morphological filter is used to reduce the noise effect. Wavelet packet is applied to decompose the vibration signals into eight subfrequency bands,...
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ژورنال
عنوان ژورنال: Journal of the Computational Structural Engineering Institute of Korea
سال: 2018
ISSN: 1229-3059,2287-2302
DOI: 10.7734/coseik.2018.31.1.63