Open AccessJournal Article
Fault Diagnosis Techniques for Dynamic Systems
TLDR
A novel classification framework is proposed, which divides fault diagnosis approaches into two classes: qualitative analysis approaches and quantitative analysis approaches, with emphasis on the data-driven approaches.About:
This article is published in Acta Automatica Sinica.The article was published on 2009-01-01 and is currently open access. It has received 37 citations till now. The article focuses on the topics: Fault (power engineering).read more
Citations
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Journal ArticleDOI
Data-driven adaptive observer for fault diagnosis
TL;DR: In this article, the authors presented a mathematical problems in engineering journal Mathematical Problems in Engineering (MPIE), where the authors proposed a method to solve the problem of solving the problem.
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A New Fault Diagnosis Method Based on Fault Tree and Bayesian Networks
Rong-xing Duan,Hui-lin Zhou +1 more
TL;DR: A novel method for diagnosing faults using fault tree analysis and Bayesian networks (BN) to optimize system diagnosis and a diagnostic decision tree (DDT) was generated to guide the maintenance personnel to repair the system.
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Probabilistic Fault Diagnosis of Safety Instrumented Systems based on Fault Tree Analysis and Bayesian Network
TL;DR: A probabilistic fault diagnosis approach of SIS is presented, a hybrid approach based on fault tree analysis (FTA) and Bayesian network (BN) that will generate a diagnosis map that will be useful to guide repair actions.
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Fault prediction model based on evidential reasoning approach
TL;DR: The results show that the established prediction model and the presented parameters optimization methods can deal with fault prediction problem effectively.
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Weak thruster fault detection for autonomous underwater vehicle based on artificial immune and signal pre-processing
Feng Yao,Fei Wang,Mingjun Zhang +2 more
TL;DR: This article investigates weak thruster fault detection problem for autonomous underwater vehicle subject to the external disturbances and demonstrates the effectiveness of the developed method based on the combination of artificial immune system and single pre-processing.
References
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Journal ArticleDOI
A Multiple Classifier Fusion Algorithm Using Weighted Decision Templates
Aizhong Mi,Lei Wang,Junyan Qi +2 more
TL;DR: A multiple classifier fusion algorithm using weighted decision templates is proposed that uses a statistical vector to measure the classifier’s performance and makes a weighed transform on each classifier according to the reliability of its output.
Journal ArticleDOI
An output delay approach to fault estimation for sampled-data systems
TL;DR: A novel augmented fault estimation observer design method is proposed to guarantee the exponential convergence of the estimation errors in the case of time varying fault estimation for the noisy sampled-data systems.
Journal ArticleDOI
Research on Fault Diagnosis Method Based on Rule Base Neural Network
TL;DR: In order to improve the efficiency of uncertain fault diagnosis based on neural network, a neural network fault diagnosis method based on rule base is put forward, which confirms the effectiveness of this method.
Journal ArticleDOI
Fault Prediction Algorithm for Multiple Mode Process Based on Reconstruction Technique
TL;DR: In this article, a multi-PCA model is used for fault detection in steady state process under different conditions, while a weighted algorithm is applied to transition process to derive the fault amplitude under the sense of fault reconstruction.
Proceedings ArticleDOI
Fault Diagnosis for Distributed UAVs Formation Based on Unknown Input Observer
TL;DR: A new fault diagnosis method based on the distributed unknown input observer in case of single UAV actuator fault is proposed and results show the efficiency of the proposed method.