Artificial Intelligence in Process Fault Diagnosis (Record no. 67131)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03483nam a22003854u 4500 |
| 001 - CONTROL NUMBER | |
| control field | 10.1002/9781119825920 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Wiley |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030120313.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mam|a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240126t2024||||xxu fs| |0|| 0|eng|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119825920 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119825920 |
| Source of number or code | doi |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 245 00 - TITLE STATEMENT | |
| Title | Artificial Intelligence in Process Fault Diagnosis |
| Remainder of title | Methods for Plant Surveillance |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Edited by Richard J. Fickelscherer. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - Date publicare | |
| Name of publisher, distributor, etc. | Wiley |
| Date of publication, distribution, etc. | 2024 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Wiley |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 432pp.; |
| 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 |
| Source | rdaft |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| Encoding format | |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Artificial Intelligence in Process Fault Diagnosis A comprehensive guide to the future of process fault diagnosis Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis. Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing. Artificial Intelligence in Process Fault Diagnosis readers will also find: Coverage of various AI-based diagnostic methodologies elaborated by leading experts Guidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and more Comprehensive overview of optimized best practices Artificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 66003 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 69611 |
| 653 00 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Artificial Intelligence; process fault diagnosis; Machine learning; data science; data analysis; process control; process monitoring; Fuzzy logic; emergency process shutdowns; diagnostic strategy; petroleum processing; chemical processing; nuclear processing; operations engineering |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fickelscherer, Richard J. |
| Relator code | edt |
| 9 (RLIN) | 91884 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781119825890 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1002/9781119825920">https://doi.org/10.1002/9781119825920</a> |
| Host name | Wiley Online Library |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119825920">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119825920</a> |
| Host name | Wiley Online Library |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Cover Image |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/cms/asset/03eb8af9-fc7e-41a7-ab11-7c559a60bca7/9781119825920.cover.gif">https://onlinelibrary.wiley.com/cms/asset/03eb8af9-fc7e-41a7-ab11-7c559a60bca7/9781119825920.cover.gif</a> |
| Host name | Wiley Online Library |
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