Prognostics of slow speed bearings using a composite integrated Gaussian process regression model
Author:
Affiliation:
1. Department of Mechanical, Aeronautical Engineering, Centre for Asset and Integrity Management, University of Pretoria , Pretoria, South Africa
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1470340
Reference38 articles.
1. A survey of cross-validation procedures for model selection
2. Acoustic Emission-Based Prognostics of Slow Rotating Bearing Using Bayesian Techniques Under Dependent and Independent Samples
3. An integrated Gaussian process regression for prediction of remaining useful life of slow speed bearings based on acoustic emission
4. Fault detection of slow speed bearings using an integrated approach
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