Cargando…

A Reliable Health Indicator for Fault Prognosis of Bearings

Estimation of the remaining useful life (RUL) of bearings is important to avoid abrupt shutdowns in rotary machines. An important task in RUL estimation is the construction of a suitable health indicator (HI) to infer the bearing condition. Conventional health indicators rely on features of the vibr...

Descripción completa

Detalles Bibliográficos
Autores principales:	Duong, Bach Phi, Khan, Sheraz Ali, Shon, Dongkoo, Im, Kichang, Park, Jeongho, Lim, Dong-Sun, Jang, Byungtae, Kim, Jong-Myon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263687/ https://www.ncbi.nlm.nih.gov/pubmed/30400203 http://dx.doi.org/10.3390/s18113740

Ejemplares similares

Emotional Stress State Detection Using Genetic Algorithm-Based Feature Selection on EEG Signals
por: Shon, Dongkoo, et al.
Publicado: (2018)

Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features
por: Toma, Rafia Nishat, et al.
Publicado: (2022)

A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions
por: Toma, Rafia Nishat, et al.
Publicado: (2022)

Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis
por: Duong, Bach Phi, et al.
Publicado: (2018)

Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification
por: Piltan, Farzin, et al.
Publicado: (2022)

Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification
por: Piltan, Farzin, et al.
Publicado: (2021)

Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm
por: Tra, Viet, et al.
Publicado: (2017)

Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features
por: Tra, Viet, et al.
Publicado: (2019)

An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning
por: Ullah, Niamat, et al.
Publicado: (2023)

Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme
por: Piltan, Farzin, et al.
Publicado: (2023)

An Explainable AI-Based Fault Diagnosis Model for Bearings
por: Hasan, Md Junayed, et al.
Publicado: (2021)

Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer
por: Piltan, Farzin, et al.
Publicado: (2018)

Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection
por: Maliuk, Andrei S., et al.
Publicado: (2021)

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
por: Pham, Minh Tuan, et al.
Publicado: (2020)

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
por: Sohaib, Muhammad, et al.
Publicado: (2017)

Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer
por: Piltan, Farzin, et al.
Publicado: (2018)

Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning
por: Hasan, Md Junayed, et al.
Publicado: (2021)

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers
por: Toma, Rafia Nishat, et al.
Publicado: (2020)

A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors
por: Toma, Rafia Nishat, et al.
Publicado: (2021)

A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds
por: Nguyen, Cong Dai, et al.
Publicado: (2020)

Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds
por: Nguyen, Hung Ngoc, et al.
Publicado: (2018)

Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques
por: Sanakkayala, Deva Chaitanya, et al.
Publicado: (2022)

Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder
por: Yan, Xiaoan, et al.
Publicado: (2021)

Wind Turbine Main Bearing Fault Prognosis Based Solely on SCADA Data
por: Encalada-Dávila, Ángel, et al.
Publicado: (2021)

A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann–Whitney Test
por: Ahmad, Zahoor, et al.
Publicado: (2023)

Identifying reliable indicators of fitness in polar bears
por: Rode, Karyn D., et al.
Publicado: (2020)

Actuator Fault Detection and Fault-Tolerant Control for Hexacopter
por: Nguyen, Ngoc Phi, et al.
Publicado: (2019)

Fault Detection of Bearing Systems through EEMD and Optimization Algorithm
por: Lee, Dong-Han, et al.
Publicado: (2017)

HUST bearing: a practical dataset for ball bearing fault diagnosis
por: Thuan, Nguyen Duc, et al.
Publicado: (2023)

Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion
por: Zhu, Huibin, et al.
Publicado: (2021)

A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning
por: Ahmad, Sajjad, et al.
Publicado: (2022)

A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings
por: Irfan, Muhammad, et al.
Publicado: (2021)

Color Recurrence Plots for Bearing Fault Diagnosis
por: Petrauskiene, Vilma, et al.
Publicado: (2022)

Simulation of Friction Fault of Lightly Loaded Flywheel Bearing Cage and Its Fault Characteristics
por: Chen, Changrui, et al.
Publicado: (2022)

Crack Size Identification for Bearings Using an Adaptive Digital Twin
por: Piltan, Farzin, et al.
Publicado: (2021)

Fault Detection of Roller-Bearings Using Signal Processing and Optimization Algorithms
por: Kwak, Dae-Ho, et al.
Publicado: (2013)

Ball Bearing Fault Diagnosis Using Recurrence Analysis
por: Kecik, Krzysztof, et al.
Publicado: (2022)

A New Method of Wheelset Bearing Fault Diagnosis
por: Sun, Runtao, et al.
Publicado: (2022)

A Siamese Vision Transformer for Bearings Fault Diagnosis
por: He, Qiuchen, et al.
Publicado: (2022)

An AVMD-DBN-ELM Model for Bearing Fault Diagnosis
por: Lei, Xue, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_4ln5jvpq1bjgf6jq9i21kh5gov