Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference
L Zhang, G Xiong, H Liu, H Zou, W Guo - Expert Systems with Applications, 2010 - Elsevier
A bearing fault diagnosis method has been proposed based on multi-scale entropy (MSE)
and adaptive neuro-fuzzy inference system (ANFIS), in order to tackle the nonlinearity …
and adaptive neuro-fuzzy inference system (ANFIS), in order to tackle the nonlinearity …
Application of regularization dimension to gear damage assessment
Fractal dimension provides a measure of the complexity of a dynamic system, and contains
the health information of a machine. The basics of regularization dimension and the effects …
the health information of a machine. The basics of regularization dimension and the effects …
A comparative study on ApEn, SampEn and their fuzzy counterparts in a multiscale framework for feature extraction
G Xiong, L Zhang, H Liu, H Zou, W Guo - Journal of Zhejiang University …, 2010 - Springer
Feature extraction from vibration signals has been investigated extensively over the past
decades as a key issue in machine condition monitoring and fault diagnosis. Most existing …
decades as a key issue in machine condition monitoring and fault diagnosis. Most existing …
Applying improved multi-scale entropy and support vector machines for bearing health condition identification
Considering the non-linearity existing in bearing vibration signals as well as the scarcity of
fault samples, this paper presents a method for bearing health condition identification based …
fault samples, this paper presents a method for bearing health condition identification based …
About periodicity and signal to noise ratio-the strength of the autocorrelation function
In condition monitoring a part of the information necessary for decision-making comes from
scrutinizing a time measure or a transform of this measure. Frequency domain is commonly …
scrutinizing a time measure or a transform of this measure. Frequency domain is commonly …
[PDF][PDF] 基于关联维数和小波能量谱熵的碰摩故障智能诊断
王美令， 陈果 - 振动与冲击, 2010 - ides.nuaa.edu.cn
提取了转静碰摩故障的关联维数和小波能量谱熵特征, 构造了基于支持向量机的碰摩故障智能
诊断模型. 首先, 基于转子碰摩动力学仿真模型, 进行了关联维数和小波能量谱熵对碰摩故障的 …
诊断模型. 首先, 基于转子碰摩动力学仿真模型, 进行了关联维数和小波能量谱熵对碰摩故障的 …
Correlation dimension analysis: a non-linear time series analysis for data processing
Correlation Dimension Analysis: A Non-linear Time Series Analysis for Data Processing
Page 1 December 2010 IEEE Instrumentation & Measurement Magazine 19 1094-6969/10/$25.00©2010IEEE …
Page 1 December 2010 IEEE Instrumentation & Measurement Magazine 19 1094-6969/10/$25.00©2010IEEE …
Detecting nonlinearity from a continuous dynamic system based on the delay vector variance method and its application to gear fault identification
S Hou, Y Li - Nonlinear Dynamics, 2010 - Springer
Many natural time series and signals collected from engineered systems are continuous
dynamical signals. In practice, it is necessary to study nonlinearities in such continuous …
dynamical signals. In practice, it is necessary to study nonlinearities in such continuous …
Gear crack assessment using correlation dimension
Fractal dimension reflects the complexity of dynamic systems, and contains the health status
information of machinery. The experimental vibration signals of a gearbox with different gear …
information of machinery. The experimental vibration signals of a gearbox with different gear …
[PDF][PDF] 转子碰摩严重程度量化检测方法研究
王美令， 陈果 - 机械科学与技术, 2010 - ides.nuaa.edu.cn
基于分形理论, 熵理论及小波变换方法, 提出用关联维数和小波能量谱熵对转子系统不同碰摩
程度进行量化检测的方法. 首先, 利用转子碰摩模型仿真了不同碰摩程度下的振动信号 …
程度进行量化检测的方法. 首先, 利用转子碰摩模型仿真了不同碰摩程度下的振动信号 …