XJTU-SY bearings

data category: Industrial fault and prognostics benchmarks · 0 papers in the last 7 days

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Bearing, engine, battery and process data used to compare fault-diagnosis and remaining-life models.

Names searched for: XJTU-SY

Key findings#

From Nov 2023 to Oct 2026, 6 archived papers mentioned XJTU-SY bearings in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2023 (1).
No paper of the tracked journals mentioned XJTU-SY bearings in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), XJTU-SY bearings was mentioned in 6 papers in the tracked journals, most of them in AI (5) and operations research (1).
2 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Anhui University (1), Chang'an University (1) and China University of Mining and Technology (1).
The journals publishing most of them were Expert Systems with Applications (2), Computers & Industrial Engineering (1) and Neural Networks (1).
The most-cited of them is “A remaining useful life prediction method of rolling bearings by RSA-BAFT combined with Copula Entropy feature selection” (Expert Systems with Applications, 2025), with 26 citations.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	1	1	4	6

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2023	2025	2026 (so far)
AI	1	2	2
Operations Research	0	0	1
All categories	1	2	3

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Expert Systems with Applications	2
2	Computers & Industrial Engineering	1
3	Neural Networks	1
4	IEEE Transactions on Neural Networks and Learning Systems	1
5	IEEE Transactions on Artificial Intelligence	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Anhui University	1
2	Chang'an University	1
3	China University of Mining and Technology	1
4	Northeastern University	1
5	University of Nottingham	1
6	University of Nottingham Malaysia Campus	1
7	University of Science and Technology of China	1
8	Xi'an Jiaotong University	1
9	Yanshan University	1

Countries with the most papers, since 2023
#	Country	Papers
1	China	5
2	United Kingdom	1
3	Malaysia	1
4	United States	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	XJTU-SY bearing dataset	4
2	remaining useful life prediction	4
3	bearing degradation	3
4	prognostics and health management	2
5	vibration signals	2
6	C-MAPSS dataset	1
7	Markov decision process	1
8	Transformer encoder	1
9	attention mechanism	1
10	autonomous vehicles	1

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	26	1.3	A remaining useful life prediction method of rolling bearings by RSA-BAFT combined with Copula Entropy feature selection	Expert Systems with Applications	2025-03-01	Zong Meng, Shufan Ma, Wei Cao et al.
2	14	0.4	Degradation-Trend-Aware Deep Neural Network With Attention Mechanism for Bearing Remaining Useful Life Prediction	IEEE Transactions on Artificial Intelligence	2023-11-22	Yongkang Liu, Donghui Pan, Haifeng Zhang et al.
3	3	0.3	KFC-Former: An interpretable kernel function convolutional −former with phase space reconstruction for remaining useful life prediction of mechanical equipment	Expert Systems with Applications	2025-11-20	Qiwu Zhao, Xiaoli Zhang, Junzhe Xie et al.
4	2	0.5	A dual-module approach with sliding variable-length window for remaining useful life prediction in bearing	Computers & Industrial Engineering	2026-07-17	Xianpeng Qiao, Veronica Lestari Jauw, Chin Seong Lim

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Cite this page

Scholar4AI. (2026). XJTU-SY bearings. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/xjtu-sy-bearings

@misc{scholar4ai-datasets-xjtu-sy-bearings,
  author = {{Scholar4AI}},
  title = {XJTU-SY bearings},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/xjtu-sy-bearings}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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