… 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 …

… 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 …

… is vast and wide ranging, encompassing such areas as general surveys, general system
modeling, and methods applied to the fault detection and isolation (FDI) of specific items of ma…

… 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 …

… Neural networks, which have been successfully applied in rotating machinery fault detection
and identification, are listed in Table 1. The table provides a preliminary summary of 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 …

… in the rotating machinery model [1]–[8]. We also present a novel technique that incorporates
failure detection filters and sliding-mode detectors for the detection and diagnosis of faults in …

… 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 …

… [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 …