Simple Summary Plant disease, defined as an abnormal condition that disrupts the normal
growth of the plant, is one of the main causes of economic losses in the agricultural industry …

Parametrized time-frequency analysis (PTFA) can effectively improve time-frequency energy
aggregation of non-stationary signal and immunity of cross term interference, but it exists the …

Time-frequency analysis (TFA) for mechanical vibrations in non-stationary operations is the
main subject of this article, concisely written to be an introducing tutorial comparing different …

The measured vibration signals of mechanical equipment with defects are generally non-
stationary. Time–frequency analysis is an effective tool in processing non-stationary signals …

Epilepsy can now be diagnosed more accurately and quickly due to computer-aided seizure
detection utilizing Electroencephalography (EEG) recordings. In this work, a novel method …

Abstract Time-frequency (TF) analysis (TFA) is an effective tool to characterize non-
stationary features of time-varying signals, which has been develo** towards the goal of …

Seismic signal analysis is the main step in data processing through the petroleum
exploration via costly seismic investigations. Precision of target delineation by seismic data …

The rolling bearing is a critical part of rotating machinery and its condition determines the
performance of industrial equipment; it is necessary to detect rolling bearing faults as early …

Electromagnetic radiation (EMR) waveforms contain rich information on coal fracture law,
which is of great value to the refined study of their characteristics. In this paper, the Hilbert …

Wheel polygonal wear is a common and severe defect, which seriously threatens the
running safety and reliability of a railway vehicle especially a locomotive. Due to non …