In the noisy environment, fault characteristics of composite faults wind power gearbox are coupled with each other, which makes extraction features more difficult. order to extract faults, a new diagnosis method for is proposed in this paper, namely modified Savitzky Golay Laplacian Gaussian filter (MSGloG). The can not only solve defects that scale parameters Modified (MloG) adaptive, but also...

The ballistocardiogram (BCG) is a graphic representation of the movements body associated with cardiac activity. In this article, 10-min BCG has been captured for ten different volunteers polymer optical fiber (POF) specklegram sensor. This transducer, which composed charge-coupled device (CCD) camera, laser emitting diode, and two meters POF, allows capturing by analyzing how induced speckle p...

The current thunderstorm monitoring methods ignore the nonlinear and non-stationary characteristics of atmospheric electric field signals, which has a negative effect on results. Based complementary ensemble empirical mode decomposition with adaptive noise Savitzky-Golay filtering (CEEMDAN-SG), point charge localization method for cloud is proposed. After CEEMDAN used to decompose signal into s...

Five Balkan paprika varieties at physiological maturity were investigated by means of Raman spectroscopy in order to discriminate the differences which stemmed from their genetic variability since plants grown under same experimental conditions. The spectra obtained using 532 nm wavelength. In an effort find best classification power, several pre-processing methods applied: 1) baseline correcti...

Gliomas, one of the most severe malignant tumors central nervous system, have a high mortality rate and an increased risk recurrence. Therefore, early glioma diagnosis control treatment great significance. The blood plasma samples patients, patients with skull craniectomy defects, healthy donors were studied using terahertz time-domain spectroscopy (THz-TDS). An analysis experimental THz data w...

To realize the classification of lubricating oil types using mid-infrared (MIR) spectroscopy, linear discriminant analysis (LDA) was used for dimensionality reduction spectrum data, and model established based on support vector machine (SVM). The spectra samples were pre-processed by interval selection, Savitzky–Golay smoothing, multiple scattering correction, normalization. Kennard–Stone algor...

Abstract The authors propose an efficient nanosystem based on molecular communication technology. Molecular via diffusion (MCvD) is a promising trend for exchanging biochemical signals between nanotransmitter (NT) and nanoreceiver (NR) in aqueous media over short distances. Nanosystem-based MCvD has recently received lot of attention advanced targeted nanomedicine applications such as drug deli...

Partial discharge (PD) online monitoring is a common technique for high-voltage equipment diagnosis. However, due to field interference, the monitored PD signal contains lot of noise. Therefore, this paper proposes novel method by integrating flower pollination algorithm, variational mode decomposition, and Savitzky–Golay filter (FPA-VMD-SG) effectively suppress white noise narrowband in signal...

With advancements in machine-learning techniques, stock-price movements can ostensibly be forecasted using time-series data. In this study, several different types of long short-term memory (LSTM) are used to predict the closing prices Japanese stocks five days into future. Also, four features [i.e., simple moving average (SMA), linear weighted (WMA), exponential WMA (EMA), and Savitzky–Golay (...