As vital components of diesel engines, failure issues of cylinder liner-piston ring components
(CLPRs), which work under harsh conditions of high temperature, high pressure, and heavy …

Process damping significantly improves the machining stability in the low speed cutting
process. Just because of this, it plays an important role in the avoidance of chatter vibrations …

A working wind turbine generates a large amount of multivariate time-series data, which
contain abundant operation state information and can predict impending anomalies. The …

Electroencephalogram (EEG) signals are well used to characterize the brain states and
actions. In this paper, a novel empirical wavelet transform (EWT) based machine learning …

Operational modal analysis (OMA) is used to identify the modal parameters of a structure
under operational conditions, which reflects the real boundary conditions and state …

The frequency domain decomposition method (FDD) is a commonly used method to identify
structural modal parameters and analyze the structural dynamic performance. Although FDD …

Steel railway bridges are indispensable to the safety, serviceability, and sustainability of the
US freight and rail network. Reduction in the stiffness of steel railway bridges is responsible …

We present a novel approach to harmonic disturbance removal in single-channel wind
turbine acceleration data by means of time-variant signal modeling. Harmonics are …

Abstract Operational Modal Analysis allows to assess the modal model of rotating
machinery. However, it is needed to pre-process the measured vibration data such that the …

Many parameters can be used to express a machine's condition and to track its evolution
through time, such as modal parameters extracted from vibration signals. Operational Modal …