This paper proposes a time-variant system reliability analysis method by combining multiple response Gaussian process (MRGP) and subset simulation (SS) to solve the small failure probability problem. One common method for time-variant reliability analysis is based on the double-loop procedure where ...
The reliability is defined as the probability that a component or system performs its intended function under intended conditions. Generally, there are two kinds of reliability analysis: static reliability analysis and dynamic reliability analysis. The difference is that whether time-variant characteristics...
Assembly: System.Runtime.InteropServices.dll Source: VariantWrapper.cs Marshals data of type VT_VARIANT | VT_BYREF from managed to unmanaged code. This class cannot be inherited. C# コピー public sealed class VariantWrapper Inheritance Object VariantWrapper Examples The following code example ...
Among the most popular nonparametric approaches are: short time fourier transform (STFT), wavelet transform (WT); matching pursuit (MP); Choi-Williams distribution (CWD), Wigner–Ville distribution (WVD) [2, 6]; and among the parametric models: time–variant autoregressive models, and adaptive ...
There is no finite choice for By such that (n + 1) ::: Bv 00 for all n; thus, the system is unstable. Using similar arguments, it can be shown that the systems in Examples 2.2, 2.3, 2.8, and 2.9 are all stable. 2.3 LTI SYSTEMS As in continuous time, a particularly important ...
Time-variant reliability analysis aims to evaluate the probability that an engineering system successfully performs its intended function throughout its se... L Hawchar,El Soueidy, Charbel-Pierre,F Schoefs - 《Reliability Engineering & System Safety》 被引量: 4发表: 2017年 Modeling random corrosion...
We also introduce a variant of DILATE, which provides a smooth generalization of temporally-constrained Dynamic Time Warping (DTW). Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NeurIPS 2019 - solar, wind we first propose convolutional self-...
It is worth noting that, besides these prototypical examples, the position of a dynamical system in the plane will depend on the characteristics of the associated time series. To illustrate, let us consider the case of stochastic oscillations: the position will be dictated by the interaction ...
worth nothing that the proposed single-loop Kriging model for time-variant reliability analysis is for a single time-variant performance function. To verify the proposed method, it is applied to four examples, two of which have with random process and others have not. Other popular methods for ...
Previous two time-scale system analyses including controllability analyses have usually been based on order reduction results which neglect the singular perturbation parameter. For instance, there are various studies4, 5, 6, 7, 8 on linear time-invariant systems, linear time variant systems, ...