Moussa Hamadache

Absolute Value Principal Components Analysis (AVPCA) and Parameter Estimation (PE) to bearing fault detection using rotor speed signal monitoring — A comparative study

Dongik Lee, Moussa Hamadache, 2016, 2016 IEEE Region 10 Symposium (TENSYMP).

A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning

Byeng D. Youn, Jungho Park, Moussa Hamadache, 2019, JMST Advances.

Improving signal-to-noise ratio (SNR) for inchoate fault detection based on principal component analysis (PCA)

Dongik Lee, Moussa Hamadache, 2014, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).

Vibration-Based Bearing Fault Detection and Diagnosis via Image Recognition Technique Under Constant and Variable Speed Conditions

Emiliano Mucchi, Giorgio Dalpiaz, Dongik Lee, 2018 .

Principal component analysis based signal-to-noise ratio improvement for inchoate faulty signals: Application to ball bearing fault detection

Dongik Lee, Moussa Hamadache, M. Hamadache, 2017 .

Wind turbine main bearing fault detection via shaft speed signal analysis under constant load

Dongik Lee, Moussa Hamadache, 2016, 2016 16th International Conference on Control, Automation and Systems (ICCAS).

A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions

Byeng D. Youn, Jungho Park, Moussa Hamadache, 2019, Mechanical Systems and Signal Processing.

On the Nyquist Frequency of Random Sampled Signals

Giorgio Dalpiaz, Gianluca D’Elia, Moussa Hamadache, 2018 .

Rotor Speed-Based Bearing Fault Diagnosis (RSB-BFD) Under Variable Speed and Constant Load

Kalyana Chakravarthy Veluvolu, Dongik Lee, Moussa Hamadache, 2015, IEEE Transactions on Industrial Electronics.