… The thermal image-based rotating machinery fault diagnosis method used in this paper also
achieves the final fault diagnosis target by directly processing the thermal images. Therefore…

… features, and the application in fault diagnosis of rolling element bearings indicates the
presented distance evaluation technique is very effective. It is shown that, using the most …

… [91] proposed a reweighted SVD strategy to denoise the signals and enhance weak
features for fault diagnosis of rotating machinery. Ibrahim et al. [92] used a least mean squares …

… feature extraction and evaluation method is proposed for fault diagnosis of rotating machinery.
… statistical features with the help of existing signal processing tools. The obtained statistical …

… Both fault … to fault diagnosis for rotating machinery. In this paper, a novel approach based
on image processing is presented to realize automatic feature extraction for rotating machinery …

… vibration analysis in the process of rotating machinery fault diagnosis. In this study, WPD
and EMD are applied to the rotating machinery fault diagnosis. First, the original acceleration …

… in the field of machinery fault diagnosis at present, VMD, is … rotating machinery fault diagnosis,”
Mech. Syst. Signal Process., vol. … -guided VMD for fault diagnosis of rotating machines,” J. …

… problem, a model for deep statistical feature learning from vibration measurements of
rotating machinery … Vibration sensor signals collected from rotating mechanical systems are …

… fault diagnosis of rotating machinery, application of Machine Learning techniques in machine
… Therefore, the goal of this research is to develop an autonomous fault classification system…

… is essential to methods for fault diagnosis. Therefore, a novel … ) is proposed to identify fault
types in rotating machinery in this … of feature extraction is to construct characteristic features of …