Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Mansouri, Majdi/ Harkat, Mohamed Faouzi/ Nounou, Hazem N.

Elsevier Science Publishing Co Inc（2020/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 322 p.
• 言語 ENG
• 商品コード 9780128191644
• DDC分類 660.2804

Full Description

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.

Contents

1. Introduction2. Linear latent variable approaches for fault detection3. Nonlinear latent variable approaches for fault detection4. Multiscale latent variable (MSLV) approaches for fault detection5. Interval latent variable (ILV) approaches for fault detection6. Model based approaches for fault detection7. Conclusions and Perspectives