Cargando…

Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence

Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure the safety of machinery. Conventional fault diagnosis and classification methods usually implement pretreatments to decrease noise and extract some time domain or frequency domain features from raw time seri...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Ran, Peng, Zhen, Wu, Lifeng, Yao, Beibei, Guan, Yong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375835/ https://www.ncbi.nlm.nih.gov/pubmed/28282936 http://dx.doi.org/10.3390/s17030549

Ejemplares similares

Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network
por: Jiang, Peng, et al.
Publicado: (2016)

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
por: Li, Guoqiang, et al.
Publicado: (2019)

Boosted Convolutional Neural Network Algorithm for the Classification of the Bearing Fault form 1-D Raw Sensor Data
por: Knap, Paweł, et al.
Publicado: (2023)

Fault-Diagnosis and Fault-Recovery System of Hall Sensors in Brushless DC Motor Based on Neural Networks †
por: Chu, Kenny Sau Kang, et al.
Publicado: (2023)

Deep Convolutional Neural Network with Deconvolution and a Deep Autoencoder for Fault Detection and Diagnosis
por: Kanno, Yasuhiro, et al.
Publicado: (2022)

Sensor fault diagnosis
por: Reppa, Vasso, et al.
Publicado: (2016)

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
por: Jing, Luyang, et al.
Publicado: (2017)

A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis
por: Hoang, Duy Tang, et al.
Publicado: (2021)

Deep residual neural-network-based robot joint fault diagnosis method
por: Pan, Jinghui, et al.
Publicado: (2022)

An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data
por: Liu, Yang, et al.
Publicado: (2019)

Trends in Sensors Fault Diagnosis
por: Witczak, Piotr
Publicado: (2021)

A Multiscale Spatio-Temporal Convolutional Deep Belief Network for Sensor Fault Detection of Wind Turbine
por: Wang, Hong, et al.
Publicado: (2020)

Sensor and Actuator Fault Diagnosis for Robot Joint Based on Deep CNN
por: Pan, Jinghui, et al.
Publicado: (2021)

Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface
por: Oyama, Tatsuya, et al.
Publicado: (2023)

Application of Fault Tree Analysis and Fuzzy Neural Networks to Fault Diagnosis in the Internet of Things (IoT) for Aquaculture
por: Chen, Yingyi, et al.
Publicado: (2017)

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery
por: Ma, Shangjun, et al.
Publicado: (2019)

Bearing Fault Diagnosis Considering the Effect of Imbalance Training Sample
por: Lin, Lin, et al.
Publicado: (2019)

Online Sensor Fault Detection Based on an Improved Strong Tracking Filter
por: Wang, Lijuan, et al.
Publicado: (2015)

A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions
por: Lee, Chun-Yao, et al.
Publicado: (2022)

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

Multi-Sensor Fault Diagnosis of Underwater Thruster Propeller Based on Deep Learning
por: Tsai, Chia-Ming, et al.
Publicado: (2021)

Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
por: Li, Hongmei, et al.
Publicado: (2019)

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

Neural Networks and Fault Probability Evaluation for Diagnosis Issues
por: Kourd, Yahia, et al.
Publicado: (2014)

A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults
por: Yoo, Seungjin, et al.
Publicado: (2023)

A Novel Methodology for Series Arc Fault Detection by Temporal Domain Visualization and Convolutional Neural Network
por: Yang, Kai, et al.
Publicado: (2019)

Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data
por: Zhang, Nannan, et al.
Publicado: (2018)

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
por: Li, Shaobo, et al.
Publicado: (2017)

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
por: Xu, Gaowei, et al.
Publicado: (2019)

A Novel Chiller Sensors Fault Diagnosis Method Based on Virtual Sensors
por: Gao, Long, et al.
Publicado: (2019)

A Novel Adaptive Sensor Fault Estimation Algorithm in Robust Fault Diagnosis
por: Pazera, Marcin, et al.
Publicado: (2022)

A Fault Diagnosis Method Considering Meteorological Factors for Transmission Networks Based on P Systems
por: Chen, Xiaotian, et al.
Publicado: (2021)

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
por: Zhang, Wei, et al.
Publicado: (2017)

Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis
por: Zhou, Shuiqin, et al.
Publicado: (2022)

A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals
por: Ye, Qing, et al.
Publicado: (2020)

A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis
por: Han, Shuzhen, et al.
Publicado: (2023)

A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks
por: Yang, Daoguang, et al.
Publicado: (2022)

Application of a new one-dimensional deep convolutional neural network for intelligent fault diagnosis of rolling bearings
por: Xie, Shenglong, et al.
Publicado: (2020)

Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis
por: Cai, Yuxiang, et al.
Publicado: (2022)

Unbalanced Fault Diagnosis Based on an Invariant Temporal-Spatial Attention Fusion Network
por: Liu, Jianhua, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_8c0vutdt9sobf0hb0bkge1tu77