Exact(3)
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.
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect bearing defects of induction motors.
Similar(57)
The validity of MDM is confirmed by detecting bearing and gear faults, which demonstrates the advantages and potential practical applications of the method for recognizing mechanical fault patterns.
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.
The effectiveness of the new proposed method for the sparse TFR in detecting bearings and gears defects in rotating machines is further verified using many practical cases.
The main novelty concerns the capability of detecting bearings independently on their design level of details, i.e. represented as assemblies of their constituent components or idealized by their external 3D shape outline.
Envelope spectrum analysis is one effective approach to detect early bearing faults through the identification of bearing fault characteristic frequencies (BFCFs).
The effectiveness of employing MUDW to detect this bearing fault is much better than AULW.
If so, a delta-scan of one bacterial genome could detect outliers bearing the imprint of a host or foreign signature.
So, by following variations in the calculated Rwa values along any reservoir, one can detect water-bearing zones and that by following the zones of the lowest computed Rwa values (regardless the magnitude of the of Rwa as ohm m values).
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