Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …

As one of the most immensely growing renewable energies, the wind power industry also
experiences a high failure rate and operation & maintenance cost. Therefore, the condition …

Vibration signals of gearbox are sensitive to the existence of the fault. Based on vibration
signals, this paper presents an implementation of deep learning algorithm convolutional …

Wind turbines have been developed fast in the recent years and at the same time have
brought some problems. It is important to maintain the healthy condition of the running …

Fault diagnosis techniques are vital to the condition-based maintenance strategy of wind
turbines, which enables the reliable and economical operation and maintenance for wind …

Vibration analysis is an effective tool for the condition monitoring and fault diagnosis of wind
turbine drivetrains. It enables the defect location of mechanical subassemblies and health …

Spectral analysis techniques to process vibration measurements have been widely studied
to characterize the state of gearboxes. However, in practice, the modulated sidebands …

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

Vibration signals of gearboxes working under time-varying conditions are non-stationary,
which causes difficulties to the fault diagnosis. Based on the techniques of signal sparse …

Failures in planetary gearboxes can cause accidents, downtime, and high maintenance
costs. Motor current signal analysis (MCSA) offers a non-intrusive method for detecting …