Results 11 to 20 of about 1,831,408 (276)
Fuzzy fault diagnostic system based on fault tree analysis [PDF]
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002 A method is presented for process fault diagnosis using information from fault tree analysis and uncertainty/imprecision of data. Fault tree analysis, which has been used as a method of system reliability/safety analysis, provides a procedure for identifying failures within a process.
Yang, Zong Xiao +3 more
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Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
, 2008 A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
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Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]
, 2010 This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Tran, Van Tung
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An online-integrated condition monitoring and prognostics framework for rotating equipment [PDF]
, 2014 Detecting abnormal operating conditions, which will lead to faults developing later, has important economic implications for industries trying to meet their performance and production goals.
Alrabady, Linda Antoun Yousef
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Mathematics, 2022 Because an electromagnet has a complex structure and manufacturing process, it is difficult to analyze the overall failure of the electromagnet. In order to solve this problem, a fault intelligent analysis and diagnosis system based on fuzzy fault tree ...
Jihong Pang, Jinkun Dai, Yong Li
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Journal of Marine Science and Engineering, 2023 Autonomous underwater vehicles have long been used in marine explorations, and their application in recent polar expeditions is particularly noteworthy.
Hyonjeong Noh +2 more
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Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
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Fault Diagnosis of Induction Motors using Decision Trees [PDF]
, 2006 Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree method
Yang, Bo-Suk +2 more
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Integrated fault estimation and accommodation design for discrete-time Takagi-Sugeno fuzzy systems with actuator faults [PDF]
, 2011 This paper addresses the problem of integrated robust fault estimation (FE) and accommodation for discrete-time Takagi–Sugeno (T–S) fuzzy systems. First, a multiconstrained reduced-order FE observer (RFEO) is proposed to achieve FE for discrete-time ...
Zhang, Ke +8 more
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Process fault prognosis using a fuzzy-adaptive unscented Kalman predictor [PDF]
, 2011 By monitoring the future process status via information prediction, process fault prognosis is able to give an early alarm and therefore prevent faults, when the faults are still in their early stages.
Sheng Chen +5 more
core +2 more sources