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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Proceedings ArticleDOI
Fault prediction research based on the data analysis of servo feed system on CNC
TL;DR: Aiming at the problem that servo feed system fault of CNC is difficult to detect and forecast, data analysis method was adopted and showed that the method can effectively forecast the servo feeds system fault and meet forecast requirements.
Proceedings ArticleDOI
Review of Interval Observer Design Method for Fault Diagnosis
TL;DR: The design approach of interval observer may be classified as linear method and nonlinear method according to the type of fault diagnosis system and direct method and coordinate transformation approach for the linear systems.
Proceedings ArticleDOI
Motor Fault Detection and Diagnosis Based on Negative Selection Algorithm
TL;DR: In this article, a negative selection algorithm was used to detect early failure of a motor bearing and to identify the type of faults, and the experimental results show that the method can effectively detect early failures and can correctly identify the fault type.
Proceedings ArticleDOI
Fault detection and diagnosis for networked Three-tank Systems
TL;DR: In this paper, an Internet-based three-tank system constructed in Tsinghua University and the University of South Wales is introduced based on this, some recently publicated fault detection and diagnosis results for Internet based three tank system are surveyed, including fault detection, fault isolation, and fault estimation techniques for nonlinear/nonlinear networked systems with disturbances Approaches in both H ∞ framework and least squares framework are reviewed.
Proceedings ArticleDOI
Actuator fault detection and isolation of combined system based on space geometry theory
TL;DR: In this paper, the authors proposed an algorithm to solve the issue of actuator fault fault FDI of combined system by using space division theory and space projection operation of unobservability subspace to solve system matrix parameters and build a residual generator to realize decoupling corresponding relation of residuals and faults in combined system.
References
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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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.