Sentence examples for feature of bearing from inspiring English sources

In this paper, LE is introduced as the fault feature of bearing vibration signals from graph spectrum domain and then a new fault diagnosis method based on the LE single feature extraction and Mahalanobis distance (MD) criterion function is proposed and applied to the analysis of roller bearing vibration signals.

Four P. infestans CDKs have the remarkable feature of bearing C-terminal regions which match strongly the Pfam domains for cyclins (Cyclin_N, Cyclin_C; Figure 2).

The purpose of the model is to generate vibration signatures which usually contain features of bearing defects.

For a better understanding of the underlying physics involved in friction phenomena, a carefully controlled experimental study is presented in which the frictional forces and dynamic response of a shaft oscillating within a pair of sleeve bearings were monitored and analyzed in order to gain further insight into the basic phenomenological features of bearing friction forces.

Considering the unique load bearing feature of planet bearings, experimental validations under both no-load and loading conditions are done to verify the derived fault symptoms and the proposed method.

The results of experiments exhibit good sliding properties and high wear resistance of the composites and a unique feature, i.e. electrical resistivity of bearing material depends on the applied load and temperature.

Finally, characteristics of local optimization and multi-resolution of wavelet analysis considered, the multi-scale wavelet decomposition is applied to the reconstructed low resonance component to extract the fault features of the bearing failure deeply.

The CNN model could thus reduce learning computation requirements in the temporal dimension, and an invariance level of working condition fluctuation and ambient noise is provided by identifying the elementary features of bearings.

Aiming at the fault feature of rolling bearing, a novel double-dictionary matching pursuit (DDMP) for fault extent evaluation of rolling bearing based on the Lempel-Ziv complexity (LZC) index is proposed in this paper.

Finally, the proposed method has been applied to identify fault feature of generator bearing on wind turbine in wind farm successfully.

Based on this time frequency analysis method, and considering the modulation feature of rolling bearing vibrations, we propose joint time-varying amplitude and frequency demodulated spectra to reveal the time-varying fault characteristic frequency.