Nothing Special   »   [go: up one dir, main page]

Zhang et al., 2024 - Google Patents

A hybrid artificial intelligence algorithm for fault diagnosis of hot rolled strip crown imbalance

Zhang et al., 2024

Document ID
12788591435812015814
Author
Zhang R
Qi Y
Kong S
Wang X
Li M
Publication year
Publication venue
Engineering Applications of Artificial Intelligence

External Links

Snippet

In the production process of hot continuous rolling, due to the imbalance between the number of normal cases and fault cases, the traditional supervised learning methods are often unable to deal with them efficiently. In order to address this problem, a new Hybrid …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • 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
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • 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
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • 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
    • 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
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F2217/00Indexing scheme relating to computer aided design [CAD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/18Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

Similar Documents

Publication Publication Date Title
Li et al. A directed acyclic graph network combined with CNN and LSTM for remaining useful life prediction
Bai et al. A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge
Li et al. A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Moya et al. Deeponet-grid-uq: A trustworthy deep operator framework for predicting the power grid’s post-fault trajectories
Du et al. Exploration of financial market credit scoring and risk management and prediction using deep learning and bionic algorithm
Al-Dulaimi et al. NBLSTM: Noisy and hybrid convolutional neural network and BLSTM-Based deep architecture for remaining useful life estimation
Zanjirchi et al. Four decades of fuzzy sets theory in operations management: application of life-cycle, bibliometrics and content analysis
Zhang et al. A hybrid artificial intelligence algorithm for fault diagnosis of hot rolled strip crown imbalance
Li et al. A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes
Yin et al. An integrated computational intelligence technique based operating parameters optimization scheme for quality improvement oriented process-manufacturing system
Sun et al. A causal model-inspired automatic feature-selection method for developing data-driven soft sensors in complex industrial processes
Jia et al. Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS
Zhang et al. An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Luo et al. A weighted SVM ensemble predictor based on AdaBoost for blast furnace ironmaking process
Liu et al. Product quality prediction method in small sample data environment
Yang et al. A bidirectional recursive gated dual attention unit based RUL prediction approach
Hao et al. Prediction of electricity consumption in cement production: a time-varying delay deep belief network prediction method
Cheng et al. A health state-related ensemble deep learning method for aircraft engine remaining useful life prediction
Zhang et al. A framework for predicting the remaining useful life of machinery working under time-varying operational conditions
Song et al. Three-reference-point decision-making method with incomplete weight information considering independent and interactive characteristics
He et al. A decomposition-based multi-objective particle swarm optimization algorithm with a local search strategy for key quality characteristic identification in production processes
Danti et al. A methodology to determine the optimal train-set size for autoencoders applied to energy systems
Wang et al. Hierarchical graph neural network with adaptive cross-graph fusion for remaining useful life prediction
Ren et al. Time-varying Gaussian Encoder based Adaptive Sensor-Weighted Method for Turbofan Engine Remaining Useful Life Prediction
Ma et al. Transformer based Kalman Filter with EM algorithm for time series prediction and anomaly detection of complex systems