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20231120010450.0 |
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200507s2020 ne a ob 001 0 eng d |
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|a YDX
|b eng
|e rda
|e pn
|c YDX
|d N$T
|d EBLCP
|d UKAHL
|d ESU
|d COO
|d OCLCF
|d TEF
|d OPELS
|d NLW
|d OCLCO
|d K6U
|d OCLCQ
|d OCLCO
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019 |
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|a 1139945789
|a 1140787590
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020 |
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|a 9780128191651
|q (electronic bk.)
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|a 0128191651
|q (electronic bk.)
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|z 9780128191644
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|z 0128191643
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035 |
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|a (OCoLC)1153690205
|z (OCoLC)1139945789
|z (OCoLC)1140787590
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050 |
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4 |
|a TP155.75
|b .M36 2020
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082 |
0 |
4 |
|a 660.2815
|2 23
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100 |
1 |
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|a Mansouri, Majdi,
|e author.
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245 |
1 |
0 |
|a Data-driven and model-based methods for fault detection and diagnosis /
|c Majdi Mansouri [and three others].
|
264 |
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1 |
|a Amsterdam, Netherlands ;
|a Cambridge, MA :
|b Elsevier,
|c [2020]
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300 |
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|a 1 online resource (xxv, 295 pages.)
|
336 |
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|2 rdamedia
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338 |
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|a online resource
|2 rdacarrier
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504 |
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|a Includes bibliographical references and index.
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588 |
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|a Description based on print version record.
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520 |
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|a Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely.
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505 |
0 |
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|a 1. Introduction; 2. Linear latent variable approaches for fault detection; 3. Nonlinear latent variable approaches for fault detection; 4. Multiscale latent variable (MSLV) approaches for fault detection; 5. Interval latent variable (ILV) approaches for fault detection; 6. Model based approaches for fault detection; 7. Conclusions and Perspectives
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650 |
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0 |
|a Chemical process control.
|
650 |
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0 |
|a Fault location (Engineering)
|
650 |
|
0 |
|a System analysis.
|
650 |
|
2 |
|a Systems Analysis
|0 (DNLM)D013597
|
650 |
|
6 |
|a Proc�ed�es chimiques
|x Contr�ole.
|0 (CaQQLa)201-0033775
|
650 |
|
6 |
|a D�etection de d�efaut (Ing�enierie)
|0 (CaQQLa)201-0138143
|
650 |
|
6 |
|a Analyse de syst�emes.
|0 (CaQQLa)201-0007674
|
650 |
|
7 |
|a systems analysis.
|2 aat
|0 (CStmoGRI)aat300077662
|
650 |
|
7 |
|a Chemical process control
|2 fast
|0 (OCoLC)fst00853144
|
650 |
|
7 |
|a Fault location (Engineering)
|2 fast
|0 (OCoLC)fst00921982
|
650 |
|
7 |
|a System analysis
|2 fast
|0 (OCoLC)fst01141385
|
776 |
0 |
8 |
|i Print version:
|t DATA-DRIVEN AND MODEL-BASED METHODS FOR FAULT DETECTION AND DIAGNOSIS.
|d [Place of publication not identified] ELSEVIER, 2020
|z 9780128191651
|w (OCoLC)1139945789
|
776 |
0 |
8 |
|i Print version:
|z 9780128191644
|z 0128191643
|w (OCoLC)1111772703
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128191644
|z Texto completo
|