To improve the efficiency and accuracy of fault diagnostics of planetary gearboxes, an
intelligent diagnosis approach is proposed based on deep convolutional neural networks …

Rotating machinery is one of the most typical types of mechanical equipment and plays a
significant role in industrial applications. Condition monitoring and fault diagnosis of rotating …

Adopted conventional practice uses a number of vibration sensors at a bearing pedestal of a
rotating machine for the vibration based condition monitoring. The number of bearings in a …

This work is a review of current trends in the stray flux signal processing techniques applied
to the diagnosis of electrical machines. Initially, a review of the most commonly used …

Vibration analysis of machines operating under non-stationary operational conditions
requires special attention. This refers to the necessity of use of order tracking algorithms …

Geared transmission system plays an important role in modern technology to transmit both
power and motion. The power transmission and control requirements in manufacturing …

Multisensor information fusion, when applied to fault diagnosis, the time‐space scope, and
the quantity of information are expanded compared to what could be acquired by a single …

Induction machines play an important role in today's industry. Thus, preventive maintenance
combined with fault diagnosis techniques have become an essential issue. One of the most …

The transmission paths of vibration signals in the planetary gearboxes are complex. The
signals have the characteristics of strong background noise, instability and non-Gaussian. Bi …

This paper proposes a novel multiple amplitude modulation and frequency modulation (AM–
FM) demodulation method based on local modulation signal bispectrum (LMSB), which can …