PRONOSTIA / PHM 2012 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: PRONOSTIA, FEMTO-ST bearing, PHM 2012

Key findings#

From Nov 2023 to Oct 2026, 6 archived papers mentioned PRONOSTIA / PHM 2012 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 PRONOSTIA / PHM 2012 bearings in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), PRONOSTIA / PHM 2012 bearings was mentioned in 7 papers in the tracked journals, most of them in AI (7).
2 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Agency for Science, Technology and Research (1), Anhui University (1) and Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (1).
The journals publishing most of them were Artificial Intelligence Review (1), Neural Networks (1) and Neural Computing and Applications (1).
The most-cited of them is “A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing” (IEEE Transactions on Artificial Intelligence, 2021), with 60 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	3	2	6

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	0	0	0	0	1	0	1	1	2	2
All categories	0	0	0	0	1	0	1	1	2	2

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Artificial Intelligence Review	1
2	Neural Networks	1
3	Neural Computing and Applications	1
4	IEEE Transactions on Neural Networks and Learning Systems	1
5	Journal Of Big Data	1
6	IEEE Transactions on Artificial Intelligence	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Agency for Science, Technology and Research	1
2	Anhui University	1
3	Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine	1
4	Fondazione Bruno Kessler	1
5	Institute for Infocomm Research	1
6	Khalifa University of Science and Technology	1
7	Nanjing University of Aeronautics and Astronautics	1
8	Singapore University of Technology and Design	1
9	Universidad de Sevilla	1
10	Universidad de Valladolid	1

Countries with the most papers, since 2023
#	Country	Papers
1	China	3
2	Spain	2
3	United Arab Emirates	1
4	United Kingdom	1
5	Italy	1
6	Singapore	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	predictive maintenance	2
2	remaining useful life prediction	2
3	Bayesian optimization	1
4	XJTU-SY bearing dataset	1
5	attention mechanism	1
6	automotive engines	1
7	autonomous vehicles	1
8	bearing degradation	1
9	class imbalance	1
10	composite networks	1

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	60	1.0	A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing	IEEE Transactions on Artificial Intelligence	2021-08-01	Biliang Lu, Zhaohua Liu, Hua‐Liang Wei 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	9	0.4	CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance	Neural Computing and Applications	2025-01-29	David Solis‐Martín, Juan Galán‐Paez, Joaquín Borrego‐Díaz
4	6	0.3	Data augmentation in predictive maintenance applicable to hydrogen combustion engines: a review	Artificial Intelligence Review	2024-12-02	Alexander Schwarz, Jhonny Rodriguez Rahal, Benjamín Sahelices et al.
5	5	0.3	Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms	Journal Of Big Data	2025-04-04	Mattia Pujatti, Davide Calzà, Andrea Gobbi 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.

Cite this page

Scholar4AI. (2026). PRONOSTIA / PHM 2012 bearings. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/pronostia-phm-2012-bearings

@misc{scholar4ai-datasets-pronostia-phm-2012-bearings,
  author = {{Scholar4AI}},
  title = {PRONOSTIA / PHM 2012 bearings},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/pronostia-phm-2012-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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