Condition-based maintenance via vibration signal processing plays an important role to
reduce unscheduled machine downtime and avoid catastrophic accidents in industrial …

Plentiful work has been done for condition monitoring (CI) and fault diagnosis of fixed-axis
gearboxes. However, still it is found that articles citing condition indicators for fault diagnosis …

Effectively identifying the health status of rolling bearings can reduce the maintenance costs
of rotating mechanical components. With the development and improvement of various …

In industrial rotating machinery, the transient signal usually corresponds to the failure of a
primary element, such as a bearing or gear. However, faced with the complexity and …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Industrial automatic control systems have high requirements for manufacturing accuracy,
which are often adversely affected by the compound fault of rotating machinery such as …

Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

The spectral kurtosis (SK) is a useful tool for locating the non-stationary component in the
single source signal. It has been verified by the mechanical fault diagnosis. The fast …

As one of the most important components in the rotating machinery, the rolling bearing will
affect the operation precision of the equipment, the running state of the gear, the degree of …

Blind deconvolution (BD) is a popular tool for vibration analysis, which has been extensively
studied to extract useful information from contaminative signals for the diagnosis of rotating …