Journal ArticleDOI
Application of Dempster–Shafer theory in fault diagnosis of induction motors using vibration and current signals
Bo-Suk Yang,Kwang Jin Kim +1 more
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TLDR
The efficiency of the proposed system is demonstrated by detecting motor electrical and mechanical faults originated from the induction motors by using Dempster–Shafer theory and it has potential for real-time applications.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 2006-02-01. It has received 218 citations till now. The article focuses on the topics: Induction motor & Electric motor.read more
Citations
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Applications of machine learning to machine fault diagnosis: A review and roadmap
TL;DR: A review and roadmap to systematically cover the development of IFD following the progress of machine learning theories and offer a future perspective is presented.
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A new approach to intelligent fault diagnosis of rotating machinery
Yaguo Lei,Zhengjia He,Yanyang Zi +2 more
TL;DR: The proposed approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference system (ANFIS) can reliably recognise different fault categories and severities.
Journal ArticleDOI
Generalized evidence theory
TL;DR: Wang et al. as discussed by the authors proposed a new theory called generalized evidence theory (GET), which addresses conflict management in an open world, where the frame of discernment is incomplete because of uncertainty and incomplete knowledge.
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A review of stochastic resonance in rotating machine fault detection
Siliang Lu,Qingbo He,Jun Wang +2 more
TL;DR: This study is committed to providing a comprehensive review of SR from history to state-of-the-art methods and finally to research prospects, along with the applications in rotating machine fault detection.
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Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance
TL;DR: A novel condition-based maintenance system is presented that uses reliability-centered maintenance mechanism to optimize maintenance cost, and employs data fusion strategy for improving condition monitoring, health assessment, and prognostics.
References
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Book
A mathematical theory of evidence
TL;DR: This book develops an alternative to the additive set functions and the rule of conditioning of the Bayesian theory: set functions that need only be what Choquet called "monotone of order of infinity." and Dempster's rule for combining such set functions.
Book ChapterDOI
Upper and Lower Probabilities Induced by a Multivalued Mapping
TL;DR: A distinctive feature of the present approach is a rule for conditioning, or more generally, arule for combining sources of information, as discussed in Sects.
Upper and Lower Probabilities Induced by a Multivalued Mapping.
TL;DR: In this paper, a multivalued mapping from a space X to a space S carries a probability measure defined over subsets of X into a system of upper and lower probabilities over S. Some basic properties of such systems are explored in Sects. 1 and 2.
Journal ArticleDOI
An introduction to multisensor data fusion
David L. Hall,James Llinas +1 more
TL;DR: This paper provides a tutorial on data fusion, introducing data fusion applications, process models, and identification of applicable techniques.
Journal ArticleDOI
The transferable belief model
TL;DR: The transferable belief model is described, a model for representing quantified beliefs based on belief functions that can be held at two levels: a credal level where beliefs are entertained and quantified by belief functions, and a pignisticlevel where beliefs can be used to make decisions and are quantification by probability functions.