Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings

Condition Monitoring of Induction Motors Based on Stator Currents Demodulation

“…Then, the demodulation 13 techniques are used to compute the analytical signal. Finally, the IA and IF are computed in order The EMD and EEMD [52], [62][63][64] are the most used techniques for mono-component signals (IMFs) computation.…”

Research on Fault Diagnosis of Rotating Machinery of Vehicle Transmission

“…EMD is a new time-frequency analysis method proposed by Huang [2], which can decompose the complex signal into finite Intrinsic Mode Function (IMF), which is suitable for dealing with non-linear and non-stationary signals. Since the advent of EMD method [3], it has attracted the attention of many scholars, has been used in structural analysis, equipment diagnosis and other fields [4].…”

A Hybrid Model Based on ANFIS and Empirical Mode Decomposition for Stock Forecasting

“…Based on EMD, any complicated signal can be decomposed into a finite and often small number of Intrinsic Mode Functions (IMFs) [14], which have simpler frequency components and stronger correlations, thus are easier and more accurate to forecast. Therefore, the EMD has been widely used in many fields, such as in the analysis of earthquake signal and structure analysis, bridge and constructions state monitoring [15], sea wave data [16], and the fault diagnosis of machines [17]. This paper considers that EMD can decompose the complicated raw data (TAIEX data) into simpler frequency components and highly correlations variables, which is adopted into AR model for building the primary model.…”