دورية أكاديمية
LIFE PREDICTION OF ROLLING BEARING BASED ON BIDIRECTIONAL STACKING SIMPLE RECURRENT UNIT
العنوان: | LIFE PREDICTION OF ROLLING BEARING BASED ON BIDIRECTIONAL STACKING SIMPLE RECURRENT UNIT |
---|---|
المؤلفون: | LI BoYang, YAO DeChen, LIU HengChang, YANG JianWei |
المصدر: | Jixie qiangdu, Vol 43, Pp 786-792 (2021) |
بيانات النشر: | Editorial Office of Journal of Mechanical Strength, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Mechanical engineering and machinery LCC:Materials of engineering and construction. Mechanics of materials |
مصطلحات موضوعية: | Rolling bearing, Simple recurrent unit, Reverse stacking, Two-way information, Life prediction, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492 |
الوصف: | In order to solve the problem of poor accuracy and low efficiency of traditional rolling bearing life prediction method. A prediction method based on bi-directional stack simple recurrent unit is proposed. Multiple time and frequency features are extracted from the original signal to construct a multi-dimensional data set to enhance the information representation and avoid the insufficient reflection of a single feature on the bearing degradation ability. Relying on the ability of recurrent neural network to process time series data,the SRU model is constructed,the traditional RNN serial operation structure is reconstructed,and the training efficiency is improved. On the basis of single layer SRU,it is stacked in reverse,so that the model can learn two-way information in time dimension,improve the accuracy of prediction. The experimental results show that the prediction accuracy and training efficiency of this method are improved. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Chinese |
تدمد: | 1001-9669 |
Relation: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.004; https://doaj.org/toc/1001-9669 |
DOI: | 10.16579/j.issn.1001.9669.2021.04.004 |
URL الوصول: | https://doaj.org/article/3722b748e72c4ad3b8749a776604f35e |
رقم الأكسشن: | edsdoj.3722b748e72c4ad3b8749a776604f35e |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 10019669 |
---|---|
DOI: | 10.16579/j.issn.1001.9669.2021.04.004 |