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.
Journal ArticleDOI
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.
Journal ArticleDOI
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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Proceedings ArticleDOI
An online data driven fault detection method in dynamic process based on sparse representation
Rui Yang,Mengjie Huang +1 more
TL;DR: Based on the sparsity of intermittent faults in some domains, an intermittent fault detection method based on sparse representation is proposed, with the online update of over-complete dictionary and fault detection threshold, and with the simulation verification, the proposed method is suitable for intermittent fault Detection in dynamic system.
Proceedings ArticleDOI
Design of the neural-network-based adaptive sliding mode observer for fault reconstruction
TL;DR: A novel actuator fault reconstruction scheme based on neural network and adaptive sliding mode observer is presented for a class of nonlinear systems with uncertainty and the feasibilities and effectiveness of the proposed approach is illustrated by the simulations on the three-axis stability spacecraft attitude control system.
Proceedings ArticleDOI
Design of Intelligent Fault Diagnosis And Remote Supporting System
Zhi Qiang Zhang,Ping Wang +1 more
TL;DR: An intelligent fault diagnosis and remote support system based on the combination of design unit and maintenance unit is proposed and the fault diagnosis positioning accuracy is greatly improved, diagnosis efficiency is improved, and maintenance cost is reduced.
Journal ArticleDOI
Data-Driven Fault Diagnosis of Shaft Furnace Roasting Processes Using Reconstruction and Reconstruction-Based Contribution Approaches
TL;DR: In this paper, a data-driven fault diagnosis method for shaft furnace roasting processes is presented based on reconstruction and reconstruction-based contribution, which exploits historical faulty data to derive fault directions to identify ongoing faults.
Proceedings ArticleDOI
Alternative estimation method for nonlinear systems with gain fault
TL;DR: For the nonlinear system with gain fault, an alternative estimation method is developed, which includes the state estimation process and the fault estimation process, which reduces the dimension of each sub-system and reduces the computation requirement.