XJTU-SY Rolling Element Bearing Accelerated Life Test Datasets: A Tutorial
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/01/01
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Indian UGC (journal)
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Citations10
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LEI Yaguo
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HAN Tianyu
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WANG Biao
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LI Naipeng
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YAN Tao
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YANG Jun
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Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| An Analysis Method for Interpretability of Convolutional Neural Network in Bearing Fault Diagnosis | IEEE Transactions on Instrumentation and Measurement |
| 2024 | |
| Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model | IEEE Transactions on Instrumentation and Measurement |
| 2024 | |
RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM | Measurement Science and Technology |
| 3 | 2023 |
| A Novel Convolution Network Based on Temporal Attention Fusion Mechanism for Remaining Useful Life Prediction of Rolling Bearings | IEEE Sensors Journal |
| 2 | 2023 |
| Multistage Convolutional Autoencoder and BCM-LSTM Networks for RUL Prediction of Rolling Bearings | IEEE Transactions on Instrumentation and Measurement |
| 2023 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 8
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Health Condition Identification of Rolling Element Bearing Based on Gradient of Features Matrix and MDDCs-MRSVD and was published in 2022. The most recent citation comes from a 2024 study titled Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model. This article reached its peak citation in 2023, with 6 citations. It has been cited in 5 different journals. Among related journals, the IEEE Transactions on Instrumentation and Measurement cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.