AN IMPULSIVE EXCITATION APPROACH FOR FATIGUE STRENGTH PROPERTY CHARACTERISATION ANALYSIS OF POLYMERS

2016 ◽  
Vol 78 (6-10) ◽  
Author(s):  
Abdul Rahim Bahari ◽  
Mohd Zaki Nuawi ◽  
Mohd Faizul Idham Mohd Zulkipli ◽  
Haizuan Abd Rahman
Keyword(s):  
Fatigue Strength ◽  
Free Vibration ◽  
Strength Property ◽  
Vibration Signal ◽  
Analysis Method ◽  
Transient Vibration ◽  
Impulsive Excitation ◽  
Different Types ◽  
Statistical Signal Analysis ◽  
Signal Analysis Method

This paper proposes a method by analysing the free vibration behavior of various polymers for fatigue strength property characterisation. Four disc-shaped specimens with different types of polymer were prepared, namely polyethylene, polycarbonate, polyoxymethylene and polyamide. Experimental dynamic tests were carried out based on ASTM E1876 to measure the transient vibration characteristics using an accelerometer positioned on the flat of the disc close to the outer circumference. The specimen has been lightly striked for pulse loading at the center point using an impact hammer. Using the method of Mesokurtosis Zonal Nonparametric (M-Z-N), the instantaneous data point of the selected decaying signals have been analysed and from the obtained results, the correlation between the M-Z-N coefficient and fatigue strength property has been investigated. It is revealed that the proposed statistical signal analysis method can be applied on the transient impulsive free vibration signal for effectively characterise fatigue strength property of polymers.

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

Experimental Method to Evaluate Unbalance Vibration for Machine Tool Spindle Integrated with Automatic Balancer

2013 ◽  
Vol 391 ◽  
pp. 398-401
Author(s):  
Hong Wei Fan ◽  
Min Qing Jing ◽  
Heng Liu
Keyword(s):  
Machine Tool ◽  
Dynamic Performance ◽  
Vibration Signal ◽  
Characteristic Parameter ◽  
Automatic Generation ◽  
Analysis Method ◽  
Displacement Sensors ◽  
Machine Tool Spindle ◽  
Signal Analysis Method ◽  
Peak Value

Unbalance is one of the main vibration sources of rotating machinery. Study on the response of unbalance is important for the machine tool spindle dynamic performance evaluation and balancing technology. How to simulate the unbalance automatic generation and how to effectively analyze the unbalance vibration signal are two main problems. In this paper, an electromagnetic balancer is used to act as the unbalance generator to imitate the tool unbalance during machine tool operation. An integrated spindle with the balancer is developed and the acceleration and displacement sensors are applied to pick up the unbalance vibration. The filtering, linear FFT and averaging are applied to extract the fundamental component from the original signal. The displacement peak-peak value and acceleration peak value are chosen as the characteristic parameter evaluating unbalance response and the shaft orbit is adopted to recognize unbalance intuitively. The experimental results show that the unbalance simulation and signal analysis method are feasible and effective.

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.

Study on Method for Real-Time Vibration Signal of Shearer Acquisition

2013 ◽  
Vol 373-375 ◽  
pp. 865-869
Author(s):  
Xiao Dong Ji ◽  
Zi Xian Yang ◽  
Xu Li ◽  
Guang Hui Xue ◽  
Miao Wu
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Underground Mining ◽  
Measurement Data ◽  
Vibration Signal ◽  
Vibration Measurement ◽  
Analysis Method ◽  
Vibration Signals ◽  
Signal Sample ◽  
Signal Analysis Method

In order to acquire and analyze the real-time vibration signals of shearer in the process of coal mining. This experiment used the portable vibration measurement data recorder, which developed by ourselves. We design a comprehensive set of solutions for data acquisition according to underground mining machines working in real time. Through the data collection package, obtained a shearer vibration signal sample on real-time working. Meanwhile, analyze the vibration signal using signal analysis method. Through the experiment we acquire vibration signals of shearer's ranging-arms on real-time working, and the analysis results indicate that data collection solution is reasonably practicable.

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.

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