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Journal ArticleDOI

A review of process fault detection and diagnosis Part II : Qualitative models and search strategies

TLDR
This part of the paper reviews qualitative model representations and search strategies used in fault diagnostic systems and broadly classify them as topographic and symptomatic search techniques.
About
This article is published in Computers & Chemical Engineering.The article was published on 2003-03-15. It has received 1415 citations till now. The article focuses on the topics: Fault detection and isolation.

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Bibliographical review on reconfigurable fault-tolerant control systems

TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
Journal ArticleDOI

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

TL;DR: The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade.
Journal ArticleDOI

Data-driven Soft Sensors in the process industry

TL;DR: Characteristics of the process industry data which are critical for the development of data-driven Soft Sensors are discussed.
Journal ArticleDOI

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

TL;DR: A basic data-driven design framework with necessary modifications under various industrial operating conditions is sketched, aiming to offer a reference for industrial process monitoring on large-scale industrial processes.
Journal ArticleDOI

A Survey of Fault Detection, Isolation, and Reconfiguration Methods

TL;DR: A survey of the various model-based FDIR methods developed in the last decade is presented, and various techniques of implementing reconfigurable control strategy in response to faults are discussed.
References
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Book

Principles of Artificial Intelligence

TL;DR: This classic introduction to artificial intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval.
Journal ArticleDOI

A theory of diagnosis from first principles

TL;DR: The theory accommodates diagnostic reasoning in a wide variety of practical settings, including digital and analogue circuits, medicine, and database updates, and reveals close connections between diagnostic reasoning and nonmonotonic reasoning.
Book

Introduction to Artificial Intelligence

TL;DR: In this article, an introduction to artificial intelligence is presented, including reasoning under uncertainty, robot plans, language understanding, and learning, and the history of the field as well as intellectual ties to related disciplines are presented.
Journal ArticleDOI

A qualitative physics based on confluences

TL;DR: A fairly encompassing account of qualitative physics, which introduces causality as an ontological commitment for explaining how devices behave, and presents algorithms for determining the behavior of a composite device from the generic behavior of its components.
Journal ArticleDOI

Qualitative simulation

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