Journal ArticleDOI
Fault diagnosis based on analytical models for linear and nonlinear systems - a tutorial
TLDR
Two methods for residual generation are presented in a tutorial way: the parity space and the observer based approaches for linear and nonlinear models are successively considered.About:
This article is published in IFAC Proceedings Volumes.The article was published on 2003-06-01. It has received 123 citations till now. The article focuses on the topics: Residual & Fault detection and isolation.read more
Citations
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Book
Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools
TL;DR: This book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.
Journal Article
Adaptive Observer-based Fast Fault Estimation
TL;DR: In this article, a fast adaptive fault estimation (FAFE) approximator is proposed to improve the rapidity of fault estimation using adaptive fault diagnosis observer, which is based on linear matrix inequality (LMI) technique.
Journal ArticleDOI
Model-based fault diagnosis for aerospace systems: a survey:
TL;DR: In this article, a survey of model-based fault detection methods for aerospace systems is presented, focusing on those methods that are applicable to aerospace systems and highlighting the characteristics of aerospace models, generic non-linear dynamical modelling from flight mechanics is recalled and a unifying representation of sensor and actuator faults is presented.
Journal ArticleDOI
Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers
TL;DR: A new FDD scheme for condition machinery of an industrial steam turbine using a data fusion methodology that outperforms the individual SVM and ANFIS systems to detect and diagnose incipient steam turbine faults.
Journal ArticleDOI
Integrated Fault Estimation and Accommodation Design for Discrete-Time Takagi–Sugeno Fuzzy Systems With Actuator Faults
Bin Jiang,Ke Zhang,Peng Shi +2 more
TL;DR: A multiconstrained reduced-order FE observer (RFEO) is proposed to achieve FE for discrete-time T-S fuzzy models with actuator faults and a new approach for fault accommodation based on fuzzy-dynamic output feedback is designed.
References
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Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
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.
Journal ArticleDOI
Nonlinear controllability and observability
R. Hermann,Arthur J. Krener +1 more
TL;DR: The properties of controllability, observability, and the theory of minimal realization for linear systems are well-understood and have been very useful in analyzing such systems as discussed by the authors.
Book
Fault detection and diagnosis in engineering systems
TL;DR: In this article, a fault detection and diagnosis framework for discrete linear systems with residual generators and residual generator parameters is presented for additive and multiplicative faults by parameter estimation using a parity equation.
Journal ArticleDOI
Analytical redundancy and the design of robust failure detection systems
E. Chow,Alan S. Willsky +1 more
TL;DR: In this article, a robust failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making, and it is argued that a robust FDI system can be achieved by designing a robust residual generation process.
Journal ArticleDOI
Survey of robust residual generation and evaluation methods in observer-based fault detection systems
P.M. Frank,X. Ding +1 more
TL;DR: In this paper, the authors outline recent advances of the theory of observer-based fault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation, including H∞ theory, nonlinear unknown input observer theory, adaptive observer theory and artificial intelligence including fuzzy logic, knowledge-based techniques and the natural intelligence of the human operator.