New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques (Record no. 63806)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05662nam a22006015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-981-97-1176-5 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030113112.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240928s2024 si | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789819711765 |
| -- | 978-981-97-1176-5 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-981-97-1176-5 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q342 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Wen, Guangrui. |
| Relator term | author. |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) | 85200 |
| 245 10 - TITLE STATEMENT | |
| Title | New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques |
| Medium | [electronic resource] : |
| Remainder of title | Advanced Machine Learning Models, Methods and Applications / |
| Statement of responsibility, etc. | by Guangrui Wen, Zihao Lei, Xuefeng Chen, Xin Huang. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2024. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Singapore : |
| Name of producer, publisher, distributor, manufacturer | Springer Nature Singapore : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XVII, 349 p. 190 illus., 182 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Smart Sensors, Measurement and Instrumentation, |
| International Standard Serial Number | 2194-8410 ; |
| Volume/sequential designation | 46 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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 Diagnosisand Maintenance -- Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis -- Community Clustering Algorithms and Its Application in Machine Fault Diagnosis -- Remaining Life Assessment of Rolling Bearing Based on Graph Neural Network -- Multi-source Information Fusion-based Intelligent Diagnosis and Maintenance -- Intelligent Fault Diagnosis Method Based on Multi-source Data and Multi-Feature Fusion -- D-S Evidence Theory and Its Application for Fault Diagnosis of Machinery -- Conclusion, Challenges, and Future Work -- Conclusion, Challenges, and Future Work. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The intelligent diagnosis and maintenance of the machine mainly includes condition monitoring, fault diagnosis, performance degradation assessment and remaining useful life prediction, which plays an important role in protecting people's lives and property. In actual engineering scenarios, machine users always hope to use an automatic method to shorten the maintenance cycle and improve the accuracy of fault diagnosis and prognosis. In the past decade, Artificial Intelligence applications have flourished in many different fields, which also provide powerful tools for intelligent diagnosis and maintenance. This book highlights the latest advances and trends in new generation artificial intelligence-driven techniques, including knowledge-driven deep learning, transfer learning, adversarial learning, complex network, graph neural network and multi-source information fusion, for diagnosis and maintenance of rotating machinery. Its primary focus is on the utilization of advanced artificial intelligence techniques to monitor, diagnose, and perform predictive maintenance of critical structures and machines, such as aero-engine, gas turbines, wind turbines, and machine tools. The main markets of this book include academic and industrial fields, such as academic institutions, libraries of university, industrial research center. This book is essential reading for faculty members of university, graduate students, and industry professionals in the fields of diagnosis and maintenance. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 64052 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 66821 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 64052 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 66822 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Lei, Zihao. |
| Relator term | author. |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) | 85201 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chen, Xuefeng. |
| Relator term | author. |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) | 85202 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Huang, Xin. |
| Relator term | author. |
| Relator code | aut |
| -- | http://id.loc.gov/vocabulary/relators/aut |
| 9 (RLIN) | 85203 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819711758 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819711772 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9789819711789 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Smart Sensors, Measurement and Instrumentation, |
| International Standard Serial Number | 2194-8410 ; |
| Volume number/sequential designation | 46 |
| 9 (RLIN) | 67547 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-981-97-1176-5">https://doi.org/10.1007/978-981-97-1176-5</a> |
| 912 ## - | |
| -- | ZDB-2-INR |
| 912 ## - | |
| -- | ZDB-2-SXIT |
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