… 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…

… of fault diagnosis of rotating machinery. This paper presents a multi-discipline method based
on image-processing for fault diagnosis of rotating machinery… fault identification. Two typical …

… 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 …

… 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 …

… new approach for fault detection and diagnosis in rotating machinery is proposed… fault
detection, the presence of fault is verified in an unsupervised manner based on anomaly detection …

… [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 …

… Fault Detection and Diagnosis (FDD) of rotating machinery plays a key role in reducing
the maintenance costs of the manufacturing systems. How to improve the FDD accuracy is an …

… 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 …

… Rotating machine fault detection and diagnostics in developing algorithms signal processing
based on a key problem is the fault … , fault detection and diagnosis of rotating machinery …

… 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 …