Results 121 to 130 of about 35,178 (215)

Comparing one and two class classification methods for multiple fault detection on an induction motor [PDF]

, 2013
Luke Axel-Berg, David Brown, Brown, David J., Smart, Edward, Edward Smart, Axel-Berg, L.   +5 more
core   +1 more source

Machine learning based fault classification for improved induction motor performance. [PDF]

PLoS One
Khan ZA, Raza MA, Masud MI, Jumani TA, Faheem M, Aman M.   +5 more
europepmc   +1 more source

Fault classification in the architecture of virtual machine using deep learning. [PDF]

Sci Rep
Rawat A, Mishra A, Alsharif H, Alharthi RM, Gupta BB.   +4 more
europepmc   +1 more source

Selection of Input Parameters for Multivariate Classifiers in Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics [PDF]

In condition monitoring (CM) signal analysis the inherent problem of key characteristics being masked by noise can be addressed by analysis of the signal envelope.
Gu, Fengshou, Ball, Andrew, Smith, Ann
core  

ANN-based fault classification and localization with optimized PMU deployment for transmission systems. [PDF]

Sci Rep
Malini T, Thirumoorthi P, Lakshmi K.
europepmc   +1 more source

APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP

Jixie qiangdu
In allusion to the difficulty to obtain fault samples of multi-stage centrifugal pumps in practical engineering, three typical faults containing rubbing, misalignment and unbalance were simulated through the fault simulation test-bed of multi-stage ...
LI YouGen, MA WenSheng, LI FangZhong, WANG QingFeng   +3 more
doaj  

SA-ConSinGAN and reservoir computing fusion for accurate bearing fault classification and severity identification using GAF-based techniques. [PDF]

Sci Rep
Shah A, Vakharia V, Kumar Y, Woźniak M, Ijaz MF.   +4 more
europepmc   +1 more source

Artificial intelligence-based fault classification on photovoltaic plants using a low-cost open-source IoT system. [PDF]

Sci Rep
Srisiri W, Le NT, Saleem MA, Kaewplung P, Chaitusaney S, Benjapolakul W.   +5 more
europepmc   +1 more source

A power-efficient layered MIoT framework for real-time ECG anomaly detection and sensor fault classification based on hierarchical THECF and hybrid intelligent models. [PDF]

Sci Rep
Khezripour H, Mozaffari SP, Zarrabi H.
europepmc   +1 more source

Hybrid Diagnostic Framework for Interpretable Bearing Fault Classification Using CNN and Dual-Stage Feature Selection. [PDF]

Sensors (Basel)
Saouli ME, Touba MM, Boudiaf A.
europepmc   +1 more source