Description

Introduction.- Overview of Intelligent Fault Diagnosis and Maintenance for Rotating Machinery.- Deep Learning and Sparse Representation Coupled Intelligent Diagnosis and Maintenance.- Sparse Model-Driven Deep Learning for Weak Fault Diagnosis of Rolling Bearings.- Memory Residual Regression Autoencoder for Bearing Fault Detection.-  Transfer Learning-based Intelligent Diagnosis and Maintenance.- Fault Diagnosis of Polytropic Conditions Based on Transfer Learning.- Performance Degradation Assessment Based on Transfer learning for Bearing.- Remaining Useful Life Prediction on .- Transfer Learning for Bearing.- Adversarial Learning-based Intelligent Diagnosis and Maintenance.- Deep Sequence Multi-distribution Adversarial Model for Abnormal Condition Detection in Industry.- Multi-Scale Lightweight Fault Diagnosis Model Based on Adversarial Learning.- Performance Degradation Assessment Based on Adversarial Learning for Bearing.- Graph-structured Information-based Intelligent Diagnosisa

New Generation Artificial IntelligenceDriven Diagnosis and Maintenance Techniques

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Hardback by Guangrui Wen

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Introduction.- Overview of Intelligent Fault Diagnosis and Maintenance for Rotating Machinery.- Deep Learning and Sparse Representation Coupled Intelligent Diagnosis and... Read more

    Publisher: Springer
    Publication Date: 11/6/2024
    ISBN13: 9789819711758, 978-9819711758
    ISBN10: 9819711754

    Non Fiction , Computing

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    Description

    Introduction.- Overview of Intelligent Fault Diagnosis and Maintenance for Rotating Machinery.- Deep Learning and Sparse Representation Coupled Intelligent Diagnosis and Maintenance.- Sparse Model-Driven Deep Learning for Weak Fault Diagnosis of Rolling Bearings.- Memory Residual Regression Autoencoder for Bearing Fault Detection.-  Transfer Learning-based Intelligent Diagnosis and Maintenance.- Fault Diagnosis of Polytropic Conditions Based on Transfer Learning.- Performance Degradation Assessment Based on Transfer learning for Bearing.- Remaining Useful Life Prediction on .- Transfer Learning for Bearing.- Adversarial Learning-based Intelligent Diagnosis and Maintenance.- Deep Sequence Multi-distribution Adversarial Model for Abnormal Condition Detection in Industry.- Multi-Scale Lightweight Fault Diagnosis Model Based on Adversarial Learning.- Performance Degradation Assessment Based on Adversarial Learning for Bearing.- Graph-structured Information-based Intelligent Diagnosisa

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