[go: up one dir, main page]

Zhang et al., 2022 - Google Patents

A remaining useful life prediction method based on PSR-former

Zhang et al., 2022

View HTML
Document ID
4937356348896307694
Author
Zhang H
Zhang S
Qiu L
Zhang Y
Wang Y
Wang Z
Yang G
Publication year
Publication venue
Scientific Reports

External Links

Snippet

The non-linear and non-stationary vibration data generated by rotating machines can be used to analyze various fault conditions for predicting the remaining useful life (RUL). It offers great help to make prognostic and health management (PHM) develop. However, the …
Continue reading at www.nature.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/26Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
    • G01N33/28Oils, i.e. hydrocarbon liquids
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Similar Documents

Publication Publication Date Title
Jiang et al. A digital twin auxiliary approach based on adaptive sparse attention network for diesel engine fault diagnosis
Cofre-Martel et al. Remaining useful life estimation through deep learning partial differential equation models: A framework for degradation dynamics interpretation using latent variables
Zhang et al. A remaining useful life prediction method based on PSR-former
Aslam Testing average wind speed using sampling plan for Weibull distribution under indeterminacy
Wei et al. Enhanced fault diagnosis of rolling bearings using an improved inception-lstm network
Ma et al. A study on rolling bearing fault diagnosis using RIME-VMD
Kharazian et al. SCANIA component X dataset: a real-world multivariate time series dataset for predictive maintenance
Peng et al. Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion
Zhao et al. Cross-condition and cross-platform remaining useful life estimation via adversarial-based domain adaptation
Yang et al. Local-feature and global-dependency based tool wear prediction using deep learning
Wang et al. Fault diagnosis method of rolling bearing based on SSA-VMD and RCMDE
Bengherbia et al. Design and hardware implementation of an intelligent industrial iot edge device for bearing monitoring and fault diagnosis
Zhou et al. Discrete entropy-based health indicator and LSTM for the forecasting of bearing health
Zhan et al. Seq2Seq-based GRU autoencoder for anomaly detection and failure identification in coal mining hydraulic support systems
Song et al. MVB fault diagnosis based on time-frequency analysis and convolutional neural networks
Russo et al. Anomaly detection in railway bridges using imaging techniques
Zhang et al. Intelligent fault diagnosis of rotating machinery based on improved hybrid dilated convolution network for unbalanced samples
Zhang et al. A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network
Zhang et al. Rolling bearing fault identification with acoustic emission signal based on variable-pooling multiscale convolutional neural networks
Lu et al. A multi-scale cross-dimension interaction approach with adaptive dilated TCN for RUL prediction
Liu et al. A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution
Meng et al. Reliability evaluation of rolling bearings based on generative adversarial network sample enhancement and maximum entropy method
Chen et al. In-situ tool wear condition monitoring during the end milling process based on dynamic mode and abnormal evaluation
Zhang et al. A new performance analysis method for rolling bearing based on the evidential reasoning rule considering perturbation
Jorry et al. Statistical batch-based bearing fault detection