… The research advances of deep DA are given in this section, which provides the basis for
analyzing the application of DA in fault detection of rotating machinery components. Several …

… detect different faults in rotating machinery using vibration data. For comparison reasons,
we also develop a more classical method using engineered features for fault detection. The …

… approach to the detection and diagnosis of mechanical faults in rotating machinery is
studied in this paper. For certain types of faults, for example, raceway faults in rolling element …

… rotating machinery used for transformation of energy. Mechanical wear and defective bearings
cause rotating machinery … A new technique for early fault detection and diagnosis in rolling…

… for compound faults detection of rotating machinery. He et al. [103] proposed maximal-overlap
adaptive multiwavelet to extract the fault symptom for mechanical fault detection at an …

… for rotating machinery fault detection under variable speed conditions. The core of the AARE
consists of a newly developed core function and edge detection … in gear fault detection. The …

… Many machine faults, such as local defects in rotating machines, manifest themselves in the
… the corresponding applications in fault detection and diagnosis of the rotating machines. The …

… Fault Detection and Diagnosis (FDD) of rotating machinery plays a key role in reducing the …
To make full use of signals and reveal all the fault features, this paper proposes a new feature …

… [59] integrate a common framework into a SVM classifier with an adaptive neuro-fuzzy
inference system classifier, to enhance the fault detection and diagnostic tasks. With a statistical …

… rotating machinery. To avoid downtime and increase reliability, early fault detection in rotating
machinery … techniques for fault detection and diagnosis of rotating machineries. The most …