Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ming J"'
Publikováno v:
2018 Prognostics and System Health Management Conference (PHM-Chongqing).
Dissolved gas analysis (DGA) has been an important technique for transformer incipient fault diagnosis. A probabilistic classifier using diffusion-based kernel density estimator is proposed for DGA analysis. Two types of input variables, namely ratio
Publikováno v:
Reliability Engineering & System Safety. 130:175-189
This paper conducts a Bayesian analysis of inverse Gaussian process models for degradation modeling and inference. Novel features of the Bayesian analysis are the natural manners for incorporating subjective information, pooling of random effects inf
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 227:2077-2089
This article provides a feature ranking criterion for multi-class support vector machine classification. In the proposed criterion, feature effectiveness is estimated for individual features by their contributions to class separability in the kernel
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 67:1217-1230
This paper introduces a hybrid dimension reduction method that combines kernel feature selection and kernel Fisher discriminant analysis (KFDA). In the first stage, a kernel feature selection method is proposed to remove redundant and irrelevant feat
Publikováno v:
Measurement. 45:255-267
When an ultrasonic angle-beam pulse-echo setup is used, two kinds of noise are present in the received signal: (1) wedge noise, and (2) random noise. In this study, we propose a method for removing both random and wedge noises using a two-dimensional
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 225:2250-2264
Feature selection is an effective way of improving classification, reducing feature dimension, and speeding up computation. This work studies a reported support vector machine (SVM) based method of feature selection. Our results reveal discrepancies
Publikováno v:
Fuzzy Sets and Systems. 157:1674-1686
Lifetime data are important in reliability analysis. Classical reliability estimation is based on precise lifetime data. It is usually assumed that observed lifetime data are precise real numbers. However, some collected lifetime data might be imprec
Autor:
Xianfeng Fan, Ming J. Zuo
Publikováno v:
Pattern Recognition Letters. 27:366-376
In this paper, conventional D-S evidence theory is improved through the introduction of fuzzy membership function, importance index, and conflict factor in order to address the issues of evidence sufficiency, evidence importance, and conflicting evid
Publikováno v:
Neural Computing and Applications. 15:239-244
The principle of solving multiobjective optimization problems with fuzzy sets theory is studied. Membership function is the key to introduce the fuzzy sets theory to multiobjective optimization. However, it is difficult to determine membership functi
Publikováno v:
Journal of Sound and Vibration. 287:614-624
Principal component analysis (PCA) is a method that transforms multiple data series into uncorrelated data series. Independent component analysis (ICA) is a method that separates multiple data series into independent data series. Both methods have be