Statistical process monitoring using advanced data-driven and deep learning approaches : (Record no. 2942)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02402nam a22003017a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220613150708.0 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780128193655 |
040 ## - | |
-- | HITLIB |
-- | rda |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TS156.8 |
Item number | STA |
245 00 - TITLE STATEMENT | |
Title | Statistical process monitoring using advanced data-driven and deep learning approaches : |
Remainder of title | theory and practical applications / |
Statement of responsibility, etc. | Fouzi Harrou; Ying Sun; Amanda S Hering; Muddu Madakyaru; Abdelkader Dairi |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Amsterdam, Netherland : |
Name of producer, publisher, distributor, manufacturer | Elsevier, |
Date of production, publication, distribution, manufacture, or copyright notice | [2021] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xii, 315 pages |
336 ## - | |
-- | rdacontent |
-- | text |
-- | txt |
337 ## - | |
-- | rdamedia |
-- | unmediated |
-- | n |
338 ## - | |
-- | rdacarrier |
-- | volume |
-- | nc |
500 ## - GENERAL NOTE | |
General note | Includes bibliography |
505 ## - | |
-- | 1. Introduction 2. Linear Latent Variable Regression (LVR)-Based Process Monitoring 3. Fault Isolation 4. Nonlinear latent variable regression methods 5. Multiscale latent variable regression-based process monitoring methods 6. Unsupervised deep learning-based process monitoring methods 7. Unsupervised recurrent deep learning schemes for process monitoring 8. Case studies 9. Conclusions and future perspectives |
520 ## - | |
-- | Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches - such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches - to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Process control |
General subdivision | Statistical methods. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Multivariate analysis |
General subdivision | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine learning. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Harrou, Fouzi |
Relator term | Co-author |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Sun, Ying |
Relator term | Co-author |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Hering, Amanda S. |
Relator term | Co-author |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Madakyaru, Muddu |
Relator term | Co-author |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Dairi, Abdelkader |
Relator term | Co-author |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Library of Congress Classification | Harare Institute of Technology Main Library | Harare Institute of Technology Main Library | General Collection | 23/05/2022 | Donation : Book Aid International | 3859/D | TS156.8 STA | BK002655 | 22/07/2024 | 1 | 13/06/2022 | Books |