Signals, instrumentation, control, and machine learning: an integrative introduction
"This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distort...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
[2022]
|
| Schlagworte: | |
| Zusammenfassung: | "This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign."-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xviii, 824 Seiten Illustrationen |
| ISBN: | 9789811251863 9789811252310 |
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Datensatz im Suchindex
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| illustrated | Illustrated |
| index_date | 2024-07-03T23:37:29Z |
| indexdate | 2024-07-10T10:12:26Z |
| institution | BVB |
| isbn | 9789811251863 9789811252310 |
| language | English |
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| physical | xviii, 824 Seiten Illustrationen |
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| publisher | World Scientific |
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| spelling | Bentsman, Joseph Verfasser (DE-588)111781811X aut Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman Singapore World Scientific [2022] xviii, 824 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign."-- Testbed (DE-588)7731743-9 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Systemintegration (DE-588)4464875-3 gnd rswk-swf Systemanalyse (DE-588)4116673-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Engineering / Mathematical models System analysis Dynamics Testbed (DE-588)7731743-9 s Signalverarbeitung (DE-588)4054947-1 s Maschinelles Lernen (DE-588)4193754-5 s Systemintegration (DE-588)4464875-3 s Systemanalyse (DE-588)4116673-5 s DE-604 9789811251863 hbk. 9789811252310 pbk. Erscheint auch als Online-Ausgabe 978-981-12-5187-0 |
| spellingShingle | Bentsman, Joseph Signals, instrumentation, control, and machine learning an integrative introduction Testbed (DE-588)7731743-9 gnd Signalverarbeitung (DE-588)4054947-1 gnd Systemintegration (DE-588)4464875-3 gnd Systemanalyse (DE-588)4116673-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)7731743-9 (DE-588)4054947-1 (DE-588)4464875-3 (DE-588)4116673-5 (DE-588)4193754-5 |
| title | Signals, instrumentation, control, and machine learning an integrative introduction |
| title_auth | Signals, instrumentation, control, and machine learning an integrative introduction |
| title_exact_search | Signals, instrumentation, control, and machine learning an integrative introduction |
| title_exact_search_txtP | Signals, instrumentation, control, and machine learning an integrative introduction |
| title_full | Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman |
| title_fullStr | Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman |
| title_full_unstemmed | Signals, instrumentation, control, and machine learning an integrative introduction Joseph Bentsman |
| title_short | Signals, instrumentation, control, and machine learning |
| title_sort | signals instrumentation control and machine learning an integrative introduction |
| title_sub | an integrative introduction |
| topic | Testbed (DE-588)7731743-9 gnd Signalverarbeitung (DE-588)4054947-1 gnd Systemintegration (DE-588)4464875-3 gnd Systemanalyse (DE-588)4116673-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Testbed Signalverarbeitung Systemintegration Systemanalyse Maschinelles Lernen |
| work_keys_str_mv | AT bentsmanjoseph signalsinstrumentationcontrolandmachinelearninganintegrativeintroduction |