Zhiwen Chen's Books

Data-Driven Fault Detection for Industrial Processes

Canonical Correlation Analysis and Projection Based Methods

By: Zhiwen Chen

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Data-Driven Fault Detection for Industrial Processes

Canonical Correlation Analysis and Projection Based Methods

By: Zhiwen Chen

Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed.

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Page Count

124

Publisher

Springer

Published Date

ISBN 10

3658167564

ISBN 13

9783658167561

Human Behavior Analysis: Sensing and Understanding

By: Zhiwen Yu,Zhu Wang

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Human Behavior Analysis: Sensing and Understanding

By: Zhiwen Yu,Zhu Wang

Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.

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Page Count

277

Publisher

Springer Nature

Published Date

ISBN 10

9811521093

ISBN 13

9789811521096

Data-Driven Fault Detection for Industrial Processes

Canonical Correlation Analysis and Projection Based Methods

By: Zhiwen Chen

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Data-Driven Fault Detection for Industrial Processes

Canonical Correlation Analysis and Projection Based Methods

By: Zhiwen Chen

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

124

Publisher

Springer

Published Date

ISBN 10

3658167564

ISBN 13

9783658167561

Book's by Zhiwen Chen

Data-Driven Fault Detection for Industrial Processes

Data-Driven Fault Detection for Industrial Processes

Human Behavior Analysis: Sensing and Understanding

Human Behavior Analysis: Sensing and Understanding

Data-Driven Fault Detection for Industrial Processes

Data-Driven Fault Detection for Industrial Processes

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