Dr. Moussa Hamadache
School of Engineering, Birmingham Centre for Railway Research and Education, University of Birmingham.
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Academic Career Length
15Years (2012-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications16 May 2019 in JMST Advances
Journal Article
Moussa HamadacheJJJoon Ha Jung
Joon Ha Jung
JPJungho Park
Jungho Park
BYByeng D. Youn
Byeng D. YounJournal Article
Moussa Hamadache
Saikat DuttaOOOSAMA OLABY
OSAMA OLABYARAmbur Ramakrishnan
Ambur RamakrishnanESEdward Stewart
Edward Stewart
Roger DixonRailway switch and crossing (S&C) systems have a very complex structure that requires not only a large number of components (such as rails, check rails, switches, crossings, turnout bearers, slide chair, etc.) but also different types of components and technologies (mechanical devices to operate switches, electrical and/or electronic devices for control, etc.). This complexity of railway S&C systems makes them vulnerable to failures and malfunctions that can ultimately cause delays and even fatal accidents. Thus, it is crucial to develop suitable condition monitoring techniques to deal with fault detection and diagnosis (FDD) in railway S&C systems. The main contribution of this paper is to present a comprehensive review of the existing FDD techniques for railway S&C systems. The aim is to overview the state of the art in rail S&C and in doing so to provide a platform for researchers, railway operators, and experts to research, develop and adopt the best methods for their applications; thereby helping ensure the rapid evolution of monitoring and fault detection in the railway industry at a time of the increased interest in condition based maintenance and the use of high-speed trains on the rail network.
25 March 2015 in IEEE Transactions on Industrial Electronics
Journal Article
Moussa HamadacheDLDongik Lee
Dongik Lee
Kalyana Chakravarthy VeluvoluThis paper addresses the application of rotor speed signal for the detection and diagnosis of ball bearing faults in rotating electrical machines. Many existing techniques for bearing fault diagnosis (BFD) rely on vibration signals or current signals. However, vibration- or current-based BFD techniques suffer from various challenges that must be addressed. As an alternative, this paper takes the initial step of investigating the efficiency of rotor speed monitoring for BFD. The bearing failure modes are reviewed and their effects on the rotor speed signal are described. Based on this analysis, a novel BFD technique, the rotor speed-based BFD (RSB-BFD) method under variable speed and constant load conditions, is proposed to provide a benefit in terms of cost and simplicity. The proposed RSB-BFD method exploits the absolute value-based principal component analysis (PCA), which improves the performance of classical PCA by using the absolute value of weights and the sum square error. The performance and effectiveness of the RSB-BFD method is demonstrated using an experimental setup with a set of realistic bearing faults in the outer race, inner race, and balls.
1 January 2015 in Journal of Automation and Control Engineering
Journal Article
KCKangbeom Cheon
Kangbeom Cheon
JKJaehoon Kim
Jaehoon Kim
Moussa HamadacheDLDongik Lee
Dongik Lee
Journal of Automation and Control Engineering (JOACE)
1 February 2019 in Mechanical Systems and Signal Processing
Journal Article
JPJungho Park
Jungho Park
Moussa HamadacheJHJong Moon Ha
Jong Moon HaYKYunhan Kim
Yunhan KimKNKyumin Na
Kyumin Na
BYByeng D. Youn
Byeng D. Youn19 January 2017 in International Journal of Control, Automation, and Systems
Journal Article
Moussa HamadacheDLDongik Lee
Dongik LeeAbout Me
Dr. Moussa Hamadache is currently an Associate Professor at the Department of Electrical Systems Engineering, Faculty of Technology, M'Hamed BOUGARA University of Boumerdes, Algeria. He has an Engineer of State degree in Automation of Industrial Processes (summa cum laude), 2008, and a PhD in Electrical & Electronic Engineering, 2015, with over 14 years of
research experience gained in several excellent international research groups including: The Dependable Embedded Control System (DECS) Lab, Kyungpook National University, South Korea; The System Health & Risk Management (SHRM) lab, Seoul National University, South Korea; The MechVib, the Mechanics and Vibrations Research Group, University of Ferrara, Italy; and The Birmingham Centre for Railway Research and Education (BCRRE), University of Birmingham (UoB), UK. His research path resulted in a dozen of high-quality research articles (such as the IEEE Transaction in Industrial Electronics), several honors and awards (awarded the Korean Government Scholarship Program in 2008; awarded 4 Student Best Paper Awards between 2014 and 2019). His research field is on system health condition monitoring (FDD, FTC, and PHM); predictive and condition-based maintenance, robotics; signal processing and filtration; control system and automation; and mechatronics systems including applications to railways. He is an Associate Fellow of the Higher Education Academy (UK).