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A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusA new time-frequency representation: Analysis of the combustion noise
OtherAbstract: The general time frequency (TF)-adaptive window transform (GAWT) was used for the analysis and synthPalabras claves:Autores:Cerdá S., Grover Zurita, Navasquillo J., Romero J.Fuentes:scopusDetection of the knock in diesel engines by using the Choi-Williams distribution
ArticleAbstract: This paper focuses on the detection of knocking features in the combustion process based in time-frePalabras claves:Autores:Cerdá S., Giménez A., Grover Zurita, Romero J.Fuentes:scopusDevelopment of a low-cost vibration measurement system for industrial applications
ArticleAbstract: Vibration-Based Condition Monitoring (VBCM) provides essential data to perform Condition-Based MaintPalabras claves:Condition based maintenance (CBM), Data acquisition, Firmware, Fourier transform, Machine diagnosis, microcontroller, software, vibration analysis, Vibration-based condition monitoring (VBCM), Welch's MethodAutores:Grover Zurita, Velarde R., Villarroel A.Fuentes:scopusApplications of Operational Modal Analysis in Gearbox and Induction Motor, Based on Random Decrement Technique and Enhanced Ibrahim Time Method
ArticleAbstract: There have been steadily growing requirements from the academia and industry, demanding non-invasivePalabras claves:cepstrum analysis, enhanced time Ibrahim method (ETIM), experimental modal analysis, Machine diagnosis, operational mode analysis (OMA), random decrement (RD), vibration analysisAutores:Castro G., Grover ZuritaFuentes:scopusFuzzy determination of informative frequency band for bearing fault detection
ArticleAbstract: Detecting early faults in rolling element bearings is a crucial measure for the health maintenance oPalabras claves:Envelope demodulation, Fault Detection, Fuzzy Clustering, Fuzzy comprehensive evaluation, Rolling element bearingAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusGearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
ArticleAbstract: Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and vibratoPalabras claves:Acoustic Emission, data fusion, deep learning, gearbox, Vibration signalAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusExtracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
ArticleAbstract: Local faults of rotating machinery usually result in repetitive transients whose impulsiveness or cyPalabras claves:Fault diagnosis, Multiscale clustered grey infogram, Repetitive transient, Rotating machinery, Spectral negentropyAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
ArticleAbstract: Fault diagnosis is important for the maintenance of rotating machinery. The detection of faults andPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Statistical feature, Vibration sensorAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
ArticleAbstract: This paper addresses the development of a random forest classifier for the multi-class fault diagnosPalabras claves:Fault diagnosis, random forest, spur gearbox, wavelet packet decompositionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopus