Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A general anomaly detection framework for fleet-based condition monitoring of machines
Kilian Hendrickx, Wannes Meert, Yves Mollet, et al.
Mechanical Systems and Signal Processing (2020) Vol. 139, pp. 106585-106585
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, et al.
Mechanical Systems and Signal Processing (2021) Vol. 163, pp. 108105-108105
Open Access | Times Cited: 215
Vibration-based anomaly detection using LSTM/SVM approaches
Kilian Vos, Zhongxiao Peng, Christopher Jenkins, et al.
Mechanical Systems and Signal Processing (2021) Vol. 169, pp. 108752-108752
Closed Access | Times Cited: 129
Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
Zhibin Zhao, Jingyao Wu, Tianfu Li, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 98
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities
Elena Quatrini, Francesco Costantino, Giulio Di Gravio, et al.
Journal of Manufacturing Systems (2020) Vol. 56, pp. 117-132
Open Access | Times Cited: 95
A Survey on Data-Driven Predictive Maintenance for the Railway Industry
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5739-5739
Open Access | Times Cited: 78
A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings
Paul Gardner, Lawrence A. Bull, Julian Gosliga, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 108918-108918
Open Access | Times Cited: 37
Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review
Arslan Ahmed Amin, Muhammad Sajid Iqbal, Muhammad Hamza Shahbaz
Expert Systems with Applications (2023) Vol. 238, pp. 121956-121956
Closed Access | Times Cited: 33
Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines
Zhen Chen, Di Zhou, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109162-109162
Closed Access | Times Cited: 27
An experimental anomaly detection framework for a conveyor motor system using recurrent neural network and dendritic gated neural network
Kahiomba Sonia Kiangala, Zenghui Wang
IET Collaborative Intelligent Manufacturing (2025) Vol. 7, Iss. 1
Open Access
A hybrid methodology for assessing hydropower plants under flexible operations: Leveraging experimental data and machine learning techniques
Ali Amini, S Rey-Mermet, Steve Crettenand, et al.
Applied Energy (2025) Vol. 383, pp. 125402-125402
Open Access
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
Sérgio F. Chevtchenko, Élisson da Silva Rocha, Monalisa Cristina Moura Dos Santos, et al.
IEEE Access (2023) Vol. 11, pp. 128288-128305
Open Access | Times Cited: 11
Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Data (2024) Vol. 9, Iss. 5, pp. 69-69
Open Access | Times Cited: 3
Core loss: Mining core samples efficiently for robust machine anomaly detection against data pollution
Zuogang Shang, Zhibin Zhao, Ruqiang Yan, et al.
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110046-110046
Closed Access | Times Cited: 17
A novel hybrid physical AI-based strategy for fault severity estimation in spur gears with zero-shot learning
Lior Bachar, Omri Matania, Roee Cohen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110748-110748
Closed Access | Times Cited: 7
M-band wavelet network for machine anomaly detection from a frequency perspective
Zuogang Shang, Zhibin Zhao, Ruqiang Yan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111489-111489
Closed Access | Times Cited: 2
Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools
Berend Denkena, Marc-André Dittrich, H. D. Nöske, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 3-4, pp. 1143-1164
Open Access | Times Cited: 6
Smart Energy Management System: SCIM Diagnosis and Failure Classification and Prediction Using Energy Consumption Data
Oussama Laayati, Mostafa Bouzi, Ahmed Chebak
Lecture notes in networks and systems (2021), pp. 1377-1386
Closed Access | Times Cited: 15
TSFuse: automated feature construction for multiple time series data
Arne De Brabandere, Tim Op De Beéck, Kilian Hendrickx, et al.
Machine Learning (2022) Vol. 113, Iss. 8, pp. 5001-5056
Open Access | Times Cited: 10
Ensemble clustering-based fault diagnosis method incorporating traditional and deep representation features
Gang Wang, Jingli Huang, Feng Zhang
Measurement Science and Technology (2021) Vol. 32, Iss. 9, pp. 095110-095110
Closed Access | Times Cited: 13
Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges
Marcel Braig, Peter Zeiler
IEEE Access (2022) Vol. 11, pp. 1506-1554
Open Access | Times Cited: 7
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
Marcel Hoffmann, Rainer Lasch
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-33
Closed Access | Times Cited: 4
MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach
Milot Gashi, Heimo Gursch, Hannes Hinterbichler, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 2837-2837
Open Access | Times Cited: 6
Fleet Management Approach for Manufacturers displayed at the Use Case of Battery Electric Vehicles
Friedrich von Bülow, Felix Heinrich, Tobias Meisen
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2021), pp. 3218-3225
Closed Access | Times Cited: 6
Unsupervised dissimilarity-based fault detection method for autonomous mobile robots
Mahmut Kasap, Metin Yılmaz, E. Miné Cinar, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1503-1518
Closed Access | Times Cited: 2
A Novel Deep Clustering Method and Indicator for Time Series Soft Partitioning
Alexandre Eid, Guy Clerc, Badr Mansouri, et al.
Energies (2021) Vol. 14, Iss. 17, pp. 5530-5530
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top