CWRU bearing data

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

← Most-used data · All Industrial fault and prognostics benchmarks datasets

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

Names searched for: CWRU, Case Western Reserve University bearing

Key findings#

From Nov 2023 to Oct 2026, 23 archived papers mentioned CWRU bearing data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (2).
No paper of the tracked journals mentioned CWRU bearing data in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), CWRU bearing data was mentioned in 30 papers in the tracked journals, most of them in AI (29) and operations research (1).
6 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Chinese University of Hong Kong (2), Hanoi University of Science and Technology (2) and Harbin Institute of Technology (2).
The journals publishing most of them were Artificial Intelligence Review (4), Neural Networks (3) and Applied Intelligence (3).
The most-cited of them is “Autoencoders and their applications in machine learning: a survey” (Artificial Intelligence Review, 2024), with 613 citations.
Papers use CWRU bearing data most often with ImageNet (5), CIFAR-10 / CIFAR-100 (4) and MNIST / Fashion-MNIST (4); it has 3 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

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
	9	8	6	23

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2021	2022	2023	2024	2025	2026 (so far)
AI	3	4	1	10	6	5
Operations Research	0	0	0	0	0	1
All categories	3	4	1	10	6	6

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Artificial Intelligence Review	4
2	Neural Networks	3
3	Applied Intelligence	3
4	Knowledge-Based Systems	3
5	Neural Computing and Applications	2
6	IEEE Transactions on Neural Networks and Learning Systems	2
7	IEEE Transactions on Pattern Analysis and Machine Intelligence	1
8	Knowledge and Information Systems	1
9	Journal of Heuristics	1
10	Cognitive Computation	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Chinese University of Hong Kong	2
2	Hanoi University of Science and Technology	2
3	Harbin Institute of Technology	2
4	Politecnico di Milano	2
5	Trường Đại học Khoa học và Công nghệ Hà Nội	2
6	Agency for Science, Technology and Research	1
7	Amazon (United States)	1
8	Baylor College of Medicine	1
9	Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine	1
10	City University of Hong Kong	1

Countries with the most papers, since 2023
#	Country	Papers
1	China	11
2	Spain	4
3	United States	3
4	Australia	2
5	United Kingdom	2
6	Hong Kong	2
7	India	2
8	Iran	2
9	Italy	2
10	Vietnam	2

Keywords with the most papers, since 2023
#	Keyword	Papers
1	bearing fault diagnosis	6
2	CWRU bearing dataset	5
3	rotating machinery	5
4	few-shot learning	4
5	domain adaptation	3
6	fault diagnosis	3
7	data augmentation	2
8	mechanical fault diagnosis	2
9	predictive maintenance	2
10	unsupervised learning	2

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	613	18.5	Autoencoders and their applications in machine learning: a survey	Artificial Intelligence Review	2024-02-03	Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al.
2	139	5.1	Small data challenges for intelligent prognostics and health management: a review	Artificial Intelligence Review	2024-07-23	Chuanjiang Li, Shaobo Li, Yixiong Feng et al.
3	117	4.3	Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets	Artificial Intelligence Review	2024-08-02	Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
4	112	1.7	Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples	Neural Networks	2021-04-09	Daoguang Yang, Hamid Reza Karimi, Kangkang Sun
5	110	1.9	Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data	Knowledge-Based Systems	2021-12-21	Huan Wang, Zhiliang Liu, Yipei Ge et al.

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.

Used together with#

Papers use CWRU bearing data most often with ImageNet (5), CIFAR-10 / CIFAR-100 (4) and MNIST / Fashion-MNIST (4); it has 3 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use CWRU bearing data together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
ImageNet	Dataset	5	3.4
CIFAR-10 / CIFAR-100	Dataset	4	4.6
MNIST / Fashion-MNIST	Dataset	4	5.8

Cite this page

Scholar4AI. (2026). CWRU bearing data. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/cwru-bearing-data

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).