Electronic Resource

DATA-DRIVEN FAULT DETECTION AND REASONING FOR INDUSTRIAL MONITORING

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This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications.


This is an open access book.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

629.892 JIN d

Penerbit

SINGAPURA : SPRINGER SINGAPORE., 2022

Deskripsi Fisik

XVII, 264 ; 115 illustrations in colour

Bahasa

English

ISBN/ISSN

978-981-16-8044-1

Klasifikasi

629.892

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

1

Subjek

ROBOTICS AND AUTOMATION
COMPUTATIONAL INTELLIGENCE

Info Detail Spesifik

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Pernyataan Tanggungjawab

JING WANG

Versi lain/terkait

Lampiran Berkas

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