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Publikováno v:
Measurement. 103:106-132
Complex signal analysis is a key topic in machinery fault diagnosis. For complex multi-component signals of various morphological contents, the commonly used basis expansion based signal processing method lacks adaptability and flexibility, thus bein
Publikováno v:
IEEE Access, Vol 5, Pp 24301-24331 (2017)
Effective signal processing methods are essential for machinery fault diagnosis. Most conventional signal processing methods lack adaptability, thus being unable to well extract the embedded meaningful information. Adaptive mode decomposition methods
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
Autor:
Ming J. Zuo, Ramin Moghaddass
Publikováno v:
IIE Transactions. 46:131-148
Multistate reliability has received significant attention over the past decades, particularly its application to mechanical devices that degrade over time. This degradation can be represented by a multistate continuous-time stochastic process. This a
Publikováno v:
Expert Systems with Applications. 39:7004-7014
The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial neural networks (ANNs). Researchers have proposed optimized data partitioning (ODP) and stratified data partitioning
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:
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
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:
2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering.
The Gaussian radial basis function is widely used in the support vector machine (SVM) due to its attractive characteristics. The parameter (σ) in this kernel is crucial to robust performance of SVM. In this paper, we derive a formula to compute the