Moussa Hamadache

715 total citations
24 papers, 556 citations indexed

About

Moussa Hamadache is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Moussa Hamadache has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 11 papers in Mechanical Engineering and 4 papers in Civil and Structural Engineering. Recurrent topics in Moussa Hamadache's work include Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (12 papers) and Gear and Bearing Dynamics Analysis (8 papers). Moussa Hamadache is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (12 papers) and Gear and Bearing Dynamics Analysis (8 papers). Moussa Hamadache collaborates with scholars based in South Korea, United Kingdom and Italy. Moussa Hamadache's co-authors include Dongik Lee, Byeng D. Youn, Jung‐Ho Park, Joon Ha Jung, Kalyana C. Veluvolu, Roger Dixon, Jae‐Hoon Kim, Edward Stewart, Elias Tsoutsanis and Kyumin Na and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Journal of Sound and Vibration.

In The Last Decade

Moussa Hamadache

24 papers receiving 537 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moussa Hamadache South Korea 11 398 274 106 70 60 24 556
Mohd Syahril Ramadhan Mohd Saufi Malaysia 8 455 1.1× 267 1.0× 128 1.2× 43 0.6× 48 0.8× 22 584
Lizhi Liu China 7 496 1.2× 295 1.1× 184 1.7× 50 0.7× 59 1.0× 13 656
Jiande Wu China 13 419 1.1× 306 1.1× 136 1.3× 74 1.1× 50 0.8× 90 604
Tauheed Mian India 9 387 1.0× 263 1.0× 194 1.8× 34 0.5× 66 1.1× 16 534
Chenyu Liu China 11 368 0.9× 242 0.9× 108 1.0× 42 0.6× 62 1.0× 32 547
Song-Yu Han China 7 435 1.1× 233 0.9× 129 1.2× 41 0.6× 58 1.0× 12 539
Jong-Duk Son South Korea 7 320 0.8× 215 0.8× 103 1.0× 74 1.1× 63 1.1× 12 446
Aisong Qin China 14 553 1.4× 279 1.0× 200 1.9× 51 0.7× 65 1.1× 30 713
Qinghua Zhang China 12 567 1.4× 301 1.1× 198 1.9× 41 0.6× 67 1.1× 44 728
Joon Ha Jung South Korea 13 498 1.3× 301 1.1× 171 1.6× 62 0.9× 48 0.8× 25 657

Countries citing papers authored by Moussa Hamadache

Since Specialization
Citations

This map shows the geographic impact of Moussa Hamadache's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moussa Hamadache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moussa Hamadache more than expected).

Fields of papers citing papers by Moussa Hamadache

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moussa Hamadache. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Moussa Hamadache. The network helps show where Moussa Hamadache may publish in the future.

Co-authorship network of co-authors of Moussa Hamadache

This figure shows the co-authorship network connecting the top 25 collaborators of Moussa Hamadache. A scholar is included among the top collaborators of Moussa Hamadache based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moussa Hamadache. Moussa Hamadache is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Hamadache, Moussa, et al.. (2022). Development of a Novel Railway Positioning System Using RFID Technology. Sensors. 22(6). 2401–2401. 15 indexed citations
3.
Zhang, Dingcheng, Min Xie, Moussa Hamadache, Mani Entezami, & Edward Stewart. (2022). An Adaptive Graph Morlet Wavelet Transform for Railway Wayside Acoustic Detection. Journal of Sound and Vibration. 529. 116965–116965. 17 indexed citations
4.
Goodall, R.M., Roger Dixon, Moussa Hamadache, & Christopher Ward. (2020). Railways Discovering Mechatronics and Monitoring - An Overview. IFAC-PapersOnLine. 53(2). 8488–8493. 1 indexed citations
5.
Tsoutsanis, Elias, Moussa Hamadache, & Roger Dixon. (2020). Real-Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants. Journal of Engineering for Gas Turbines and Power. 142(10). 19 indexed citations
6.
Hamadache, Moussa, et al.. (2019). On the Fault Detection and Diagnosis of Railway Switch and Crossing Systems: An Overview. Applied Sciences. 9(23). 5129–5129. 67 indexed citations
7.
Hamadache, Moussa, Joon Ha Jung, Jung‐Ho Park, & Byeng D. Youn. (2019). A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning. 1(1-2). 125–151. 128 indexed citations
8.
Park, Jung‐Ho, Moussa Hamadache, Jong Moon Ha, et al.. (2018). A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions. Mechanical Systems and Signal Processing. 117. 347–360. 44 indexed citations
9.
Hamadache, Moussa, Dongik Lee, Emiliano Mucchi, & Giorgio Dalpiaz. (2018). Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions. Applied Sciences. 8(8). 1392–1392. 20 indexed citations
10.
Hamadache, Moussa, et al.. (2017). An online hybrid prognostics ANFIS-PF method with an application to gearbox for RUL prediction. 1(1). 1 indexed citations
11.
Hamadache, Moussa & Dongik Lee. (2017). Principal component analysis based signal-to-noise ratio improvement for inchoate faulty signals: Application to ball bearing fault detection. International Journal of Control Automation and Systems. 15(2). 506–517. 44 indexed citations
12.
Hamadache, Moussa & Dongik Lee. (2016). Absolute Value Principal Components Analysis (AVPCA) and Parameter Estimation (PE) to bearing fault detection using rotor speed signal monitoring — A comparative study. University of Birmingham Research Portal (University of Birmingham). 367–372. 2 indexed citations
13.
Hamadache, Moussa & Dongik Lee. (2016). Wind turbine main bearing fault detection via shaft speed signal analysis under constant load. 1579–1584. 9 indexed citations
14.
Kim, Jae‐Hoon, et al.. (2015). On Replacing PID Controller with Deep Learning Controller for DC Motor System. Journal of Automation and Control Engineering. 3(6). 452–456. 66 indexed citations
15.
Hamadache, Moussa, Dongik Lee, & Kalyana C. Veluvolu. (2015). Rotor Speed-Based Bearing Fault Diagnosis (RSB-BFD) Under Variable Speed and Constant Load. IEEE Transactions on Industrial Electronics. 62(10). 6486–6495. 84 indexed citations
16.
Hamadache, Moussa & Dongik Lee. (2014). Improving signal-to-noise ratio (SNR) for inchoate fault detection based on principal component analysis (PCA). University of Birmingham Research Portal (University of Birmingham). rd. 561–566. 7 indexed citations
17.
Hamadache, Moussa, et al.. (2012). Bearing fault effect on induction motor stator current modeling based on torque variations. University of Birmingham Research Portal (University of Birmingham). 814–818. 8 indexed citations
18.
Hamadache, Moussa & Dongik Lee. (2012). Principal Components Analysis based Fault Detection and Isolation for Electronic Throttle Control system. University of Birmingham Research Portal (University of Birmingham). 808–813. 2 indexed citations
19.
Hamadache, Moussa, et al.. (2012). Principal component analysis for 3D-manipulator robot control system. University of Birmingham Research Portal (University of Birmingham). 1. 395–398. 2 indexed citations
20.
Hamadache, Moussa & Dongik Lee. (2011). Fault Diagnosis of Electronic Throttle System Using Parameter Estimation. 1321–1326. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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