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Journal ArticleDOI

Soft Computing Approaches to Fault Diagnosis for Dynamic Systems: A Survey

Ron J. Patton, +2 more
- 01 Jun 2000 - 
- Vol. 33, Iss: 11, pp 303-315
TLDR
The paper discusses the properties of several methods of combining quantitative and qualitative system information and their practical value for fault diagnosis of real process systems.
About
This article is published in IFAC Proceedings Volumes.The article was published on 2000-06-01. It has received 155 citations till now. The article focuses on the topics: Fault detection and isolation & Soft computing.

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Citations
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Journal ArticleDOI

Sensor and actuator fault detection in small autonomous helicopters

TL;DR: In this paper, an actuator and sensor FDI system for small autonomous helicopters is presented, which evaluates any significant change in the behaviour of the vehicle with respect to the fault-free behaviour, which is estimated by using observers.
Journal ArticleDOI

Fault diagnosis of Tennessee Eastman process with multi- scale PCA and ANFIS

TL;DR: An online fault diagnosis framework for a dynamical process incorporating multi-scale principal component analysis (MSPCA) for feature extraction and adaptive neuro-fuzzy inference system (ANFIS) for learning the fault-symptom correlation from the process historical data is developed.
Journal ArticleDOI

Historical Overview of Research in Reconfigurable Flight Control

TL;DR: This article will discuss initial research and flight testing of approaches based on explicit fault detection, isolation, and estimation, as well as later approachesbased on continuously adaptive and intelligent control algorithms.
Journal ArticleDOI

A review of uncertainty in flight vehicle structural damage monitoring, diagnosis and control: Challenges and opportunities

TL;DR: In this article, a comprehensive review of uncertainties involved in flight vehicle structural damage monitoring, diagnosis, prognosis and control is presented, which can cause infeasibilities, false diagnosis and very imprecise prognosis.
Journal ArticleDOI

On Fault Detection and Diagnosis in Robotic Systems

TL;DR: This article elaborate on FDD from the perspective of the different characteristics a robotic system may have and give examples of successful FDD approaches, and analyses the advantages and disadvantages of each approach with respect to robotic systems.
References
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Journal ArticleDOI

Identification and control of dynamical systems using neural networks

TL;DR: It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems and the models introduced are practically feasible.
Book

Decision-making in a fuzzy environment

TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Journal ArticleDOI

An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
Journal ArticleDOI

Application of fuzzy algorithms for control of simple dynamic plant

TL;DR: In this article, the authors describe a scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.
Book

Robust Model-Based Fault Diagnosis for Dynamic Systems

TL;DR: Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.
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