Application of Vibration Signal Analysis Method Based on Wavelet and LMD

2015 ◽  
Vol 12 (4) ◽  
pp. 1503-1510 ◽  
Author(s):  
Renjie Song
Keyword(s):  
Signal Analysis ◽  
Vibration Signal ◽  
Analysis Method ◽  
Vibration Signal Analysis ◽  
Signal Analysis Method

The Damped Eigenfrequency Analysis for an Elastic Disk Clamped by a Water-Filled Cylinder

2012 ◽  
Vol 490-495 ◽  
pp. 3742-3747
Author(s):  
Zhi Xi Yang
Keyword(s):  
Signal Analysis ◽  
Effective Means ◽  
Three Dimensional ◽  
Vibration Signal ◽  
Analysis Method ◽  
Obvious Effect ◽  
Coupled Numerical Model ◽  
Elastic Disk ◽  
Vibration Signal Analysis ◽  
Signal Analysis Method

A vibroacoustic testing model in laboratory for the damped eigenfrequencies and eigenmodes is introduced in this paper. The unsymmetric (u, p) variational formulas are implemented for three dimensional structures based on the elastodynamic displacement field u and the fluid acoustic pressure field p. The damping coefficients of materials seem to have no obvious effect on the coupled numerical model. Then the damped eigenfrequencies can alternately be obtained by vibration signal analysis method. The Fast Fourier Transform for the spectrum domain analysis illustrates an effective means to evaluate the damped eigenfrequencies.

Research on a vibration signal analysis method for motor bearing

Optik ◽  
2016 ◽  
Vol 127 (20) ◽  
pp. 10014-10023 ◽  
Author(s):  
Huimin Zhao ◽  
Wu Deng ◽  
Xinhua Yang ◽  
Xiumei Li
Keyword(s):  
Signal Analysis ◽  
Vibration Signal ◽  
Analysis Method ◽  
Vibration Signal Analysis ◽  
Signal Analysis Method ◽  
Motor Bearing

A Bearing Fault Diagnosis Using Wavelet Envelope Spectrum Based on Full Vector Spectrum Technology

2012 ◽  
Vol 190-191 ◽  
pp. 873-879 ◽  
Author(s):  
Xiao Yun Gong ◽  
Jie Han ◽  
Hong Chen ◽  
Wen Ping Lei
Keyword(s):  
Signal Analysis ◽  
Wavelet Packet ◽  
Vibration Signal ◽  
Analysis Method ◽  
Bearing Fault Diagnosis ◽  
Bearing Vibration ◽  
Vibration Signal Analysis ◽  
Envelope Spectrum ◽  
Signal Analysis Method ◽  
Full Vector

Wavelet envelope demodulation method can distinguish the fault information from complex bearing vibration signal. However, traditional signal analysis method, which is solely based on a single source data, is imperfect. In this paper, an approach to wavelet packet and envelope analysis based on full vector spectrum technology was proposed. Firstly, two different data from the same source were respectively decomposed and recomposed by wavelet packet transform. Then, in order to improve the accuracy of detecting fault, the recomposed signals were merged by using the full vector spectrum method. Compared to the traditional signal analysis method, the advantage of the new method is presented by showing their application to bearings. Finally, results from the bearing vibration signal analysis show that the new approach is more effective because of its inheritance and all-sided feature.

Embedded Sensing Design of Gearboxes for Vibration Monitoring

2010 ◽  
Vol 29-32 ◽  
pp. 264-268
Author(s):  
Z.S. Chen ◽  
Yong Min Yang ◽  
Z.X. Ge ◽  
C. Li
Keyword(s):  
Signal Analysis ◽  
Signal To Noise Ratio ◽  
Vibration Signal ◽  
Vibration Monitoring ◽  
Embedded Sensors ◽  
Analysis Method ◽  
Signal To Noise ◽  
Normal Functions ◽  
Embedded Sensing ◽  
Vibration Signal Analysis

Vibration signal analysis is one of the most effective ways for condition monitoring of gearboxes. Traditional way is often to mount additional accelerometer sensors on their cases, which has two unavoidable defects: signal-to-noise ratio is often low due to long signal travel paths and it may be not allowable due to space limitations. While embedded diagnostics (ED) can solve these two problems well by embedding sensors close to fault sources. However, embedded sensing design is a great challenge of ED because embedded sensors must have effects on the structure integrity of a gearbox. So it is necessary to determine how to embed sensors in order to ensure normal functions of a gearbox. In this paper, a finite element-based structure analysis method was proposed to perform embedded sensing design of bearings and gears to determine the optimal modified structure size.

scholarly journals A Piezoelectric Sensor Signal Analysis Method for Identifying Persons Groups

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 733
Author(s):  
Hitoshi Ueno
Keyword(s):  
Frequency Spectrum ◽  
Signal Analysis ◽  
Cardiac Cycle ◽  
Vibration Signal ◽  
Piezoelectric Sensor ◽  
Analysis Method ◽  
Single Person ◽  
Discrimination Criterion ◽  
Privacy Issues ◽  
Signal Analysis Method

The is an increasing number of elderly single-person households causing lonely deaths and it is a social problem. We study a watching system for elderly families by laying the piezoelectric sensors inside the house. There are few privacy issues of this system because piezoelectric sensor detects only a person’s vibration signal. Furthermore, it has a benefit of sensing the ability for a bio-signal including the respiration cycle and cardiac cycle. We propose a method of identifying the person who is on the sensor by analyzing the frequency spectrum of the bio-signal. Multiple peaks of harmonics originating from the heartbeat appear in the graph of the frequency spectrum. We propose a method to identify people by using the peak shape as a discrimination criterion.

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