Sentence examples for multiple bearing faults from inspiring English sources

A theoretical model of multiple bearing faults is established in this paper.

Compared with the kurtogram and protrugram techniques, the proposed method can more effectively extract signatures of multiple bearing faults even in the presence of strong background noise.

However, the multiscale noise tuning (MST), which is originally based on discrete wavelet transform (DWT), limits the signal-to-noise ratio (SNR) improvement of SR and the performance in identifying multiple bearing faults.

The vibration severity caused by the bearing fault is investigated for different loads.

A multiple SVM model is introduced for classifying the fault condition among ten power system faults.

Detection of bearing faults is crucial to prevent bearing failures.

Amplitude demodulation is a key means of diagnosing bearing faults.

Vibration monitoring is often used to detect bearing faults.

Konar, et al [72], used wavelet transform and SVM to detect bearing faults in induction motors.

In this paper, an AMULW with perfect reconstruction is developed to detect rolling element bearing faults.

Previous case studies including a simulated bearing fault signal and real bearing fault signals were used to show that the effectiveness of the optimal wavelet filtering method in detecting bearing faults.