Wavelet transform and multiresolution signal decomposition for machinery monitoring and diagnosis

2002 ◽  
Author(s):  
He Zhengjia ◽  
Zhao Jiyuan ◽  
He Yibin ◽  
Meng Qingfeng
Keyword(s):  
Wavelet Transform ◽  
Signal Decomposition ◽  
Monitoring And Diagnosis ◽  
Multiresolution Signal Decomposition

scholarly journals A Multi-Valued Diagnostic Model Synthesis Based on Descrete Wavelet Transform

2015 ◽  
Vol 27 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Henryk Borowczyk
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
High Frequency ◽  
Real Life ◽  
Signal Decomposition ◽  
Diagnostic Model ◽  
Discrete Wavelet ◽  
Model Synthesis ◽  
Vibroacoustic Signal ◽  
Three Stages

Abstract The method of a multi-valued diagnostic model synthesis using discrete wavelet transform is presented. The method's algorithm consists of three stages: (1) - signal decomposition into low- and high frequency parts - approximations and details, (2) - approximations and details parameterization, (3) - multi-valued encoding parameters obtained in stage 2. The method is illustrated with vibroacoustic signal in real life experiment. The multi-valued diagnostic model is the final result.

scholarly journals Prediction of Squeal Noise Based on Multiresolution Signal Decomposition and Wavelet Representation—Application to FEM Brake Systems Subjected to Friction-Induced Vibration

2020 ◽  
Vol 10 (21) ◽  
pp. 7418
Author(s):  
Grégoire Corradi ◽  
Jean-Jacques Sinou ◽  
Sébastien Besset
Keyword(s):  
Acoustic Radiation ◽  
Synthesis Method ◽  
Element Model ◽  
Signal Decomposition ◽  
Reduced Models ◽  
Wavelet Representation ◽  
Acoustic Pattern ◽  
Squeal Noise ◽  
Friction Induced Vibration ◽  
Multiresolution Signal Decomposition

This paper is devoted to discussion of the efficiency of reduced models based on a Double Modal Synthesis method that combines a classical modal reduction and a condensation at the frictional interfaces by computing a reduced complex mode basis, for the prediction of squeal noise of mechanical systems subjected to friction-induced vibration. More specifically, the use of the multiresolution signal decomposition of acoustic radiation and wavelet representation will be proposed to analyze details of a pattern on different observation scales ranging from the pixel to the size of the complete acoustic pattern. Based on this approach and the definition of specific resulting criteria, it is possible to quantify the differences in the representation of the acoustic fields for different reduced models and thus to perform convergence studies for different scales of representation in order to evaluate the potential of reduced models. The effectiveness of the proposed approach is tested on the finite element model of a simplified brake system that is composed of a disc and two pads. The contact is modeled by introducing contact elements at the two friction interfaces with the classical Coulomb law and a constant friction coefficient. It is demonstrated that the new proposed criteria, based on multiresolution signal decomposition, allow us to provide satisfactory results for the choice of an efficient reduced model for predicting acoustic radiation due to squeal noise.

Decomposition of T2 Signal for Multivariate Assembly Process Control Using Bayesian Network

2011 ◽  
Vol 314-316 ◽  
pp. 2370-2374
Author(s):  
Yin Hua Liu ◽  
Yang Yang
Keyword(s):  
Bayesian Network ◽  
Control Charts ◽  
Mean Shift ◽  
Signal Decomposition ◽  
Assembly Process ◽  
New Approach ◽  
Root Cause ◽  
Monitoring And Diagnosis ◽  
The Mean ◽  
Interaction Change

The process monitoring and diagnosis in assembly process is important. Multivariate T2 control charts are applied to detect the mean shift and interaction change in the assembly process. However, T2 charts can not identify the root cause of the change. The traditional MTY method for T2 signal decomposition is computationally expensive, especially when the dimension of the variables is high. A new approach based on Bayesian network to identify the significant cause of T2 signals is proposed in this paper. The headlamp bracket case is used to illustrate the overall procedure. And the effectiveness of the proposed approach is evaluated.

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