欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
对复杂、病态、非线性动态系统进行故障预报的重点和难点是建立系统故障状况的数学模型,通常难以建立精确的数学模型,相比之下构建其模糊模型是一个有效途径.本文研究了相关向量机（Relevance vector machine,RVM）与模糊推理系统（Fuzzy inference system,FIS）之间的内在联系,证明了基于RVM的FIS具有一致逼近性,并提出了一种基于RVM和梯度下降（Gradient descent,GD）算法的模糊模型辨识方法.基于所给出的模糊模型辨识方法提出了一种新的故障预报算法.仿真结果表明所建立的模糊模型不仅结构更加简单,而且能达到更高的预测精度,所提出的故障预报算法能准确地预报系统故障.
英文摘要：
For a dynamic system with complexity, morbidity and nonlinearity, it is significant and difficult to establish a fault prediction model accurately in general. Instead, to construct a suitable fuzzy model may be an effective alternative. In this paper, the inherent relationship between relevance vector machine （RVM） and fuzzy inference system （FIS） is investigated firstly, then the uniformly approximating capability of FIS based on RVM is proved. Next, a fuzzy model identification method based on RVM and gradient descent （GD） algorithm is presented as well. Finally, a new fault prediction algorithm is given on the basis of the presented fuzzy model identification method. The simulation studies illustrate that the presented fuzzy modeling method can generate a compacter model and achieve higher prediction accuracy as well. Based on the new fault prediction algorithm, the system fault can be predicted correctly.
同期刊论文项目
同项目期刊论文
A model for online failure prognosis subject to two failure modes based on belief rule base and semi
Unified Neural Network Model for Extracting Principal and Minor Cross-Correlation Features Between T
A case study of remaining storage life prediction using stochastic filtering with the influence of c
A Wiener process-based degradation model with a recursive filter algorithm for remaining useful life
A degradation path-dependent approach for remaining useful life estimation with an exact and closed-
Online updating with a probability-based prediction model using expectation maximization algorithm f
Analysis of the smallest detectable leakage flow rate of negative pressure wave based leak detection
Signed directed graph modeling and validation of industrial processes by process knowledge and proce
Cooperative Predictive Maintenance of Repairable Systems with Dependent Failure Modes and Resource C
System Reliability Prediction Model Based on Evidential Reasoning Algorithm with Nonlinear Optimizat
Wang. A new fault detection scheme for networked control systems subject to uncertain time varying d
Fault detection of networked control systems subject to access constraints and random packet dropout
Real time remaining useful life prediction based on nonlinear Wiener based degradation processes wit
位置：