scholarly journals Integration of Vibration Acceleration Signal Based on LabVIEW

2019 ◽  
Vol 1345 ◽  
pp. 042067
Author(s):  
Liu Qihe
Keyword(s):  
Vibration Acceleration ◽  
Acceleration Signal

Study on Neural Networks Usage to Analyse Correlation between Spectrum of Vibration Acceleration Signal from Pin of Ball Mill and its Filling Level

2015 ◽  
Vol 770 ◽  
pp. 540-546 ◽  
Author(s):  
Yuri Eremenko ◽  
Dmitry Poleshchenko ◽  
Anton Glushchenko
Keyword(s):  
Neural Network ◽  
Ball Mill ◽  
Signal Amplitude ◽  
Signal Spectrum ◽  
Laboratory Model ◽  
Training Set ◽  
Vibration Acceleration ◽  
Acceleration Signal ◽  
The Neural Network ◽  
Trained Neural Network

The question about modern intelligent information processing methods usage for a ball mill filling level evaluation is considered. Vibration acceleration signal has been measured on a mill laboratory model for that purpose. It is made with accelerometer attached to a mill pin. The conclusion is made that mill filling level can not be measured with the help of such signal amplitude only. So this signal spectrum processed by a neural network is used. A training set for the neural network is formed with the help of spectral analysis methods. Trained neural network is able to find the correlation between mill pin vibration acceleration signal and mill filling level. Test set is formed from the data which is not included into the training set. This set is used in order to evaluate the network ability to evaluate the mill filling degree. The neural network guarantees no more than 7% error in the evaluation of mill filling level.

scholarly journals Transformation of Gear Inter-Teeth Forces into Acceleration and Velocity

1999 ◽  
Vol 5 (3) ◽  
pp. 203-218 ◽  
Author(s):  
Walter Bartelmus
Keyword(s):  
Computer Simulation ◽  
Mathematical Modelling ◽  
Computer Simulations ◽  
Production Technology ◽  
Vibration Acceleration ◽  
Acceleration Signal ◽  
Field Practice ◽  
Design Production ◽  
Extended Interpretation

The paper deals with mathematical modelling and computer simulation of a gearbox system. Results of computer simulation show new possibilities of extended interpretation of a diagnostic acceleration signal if signal is obtained by synchronous summation. Four groups of factors: design, production technology, operation, change of gear condition are discussed. Results of computer simulations give the relation between inter-teeth forces and vibration (acceleration, velocity). Some results of computer simulations are referred to the results obtained in rig measurements and in field practice. The paper shows a way of increasing the expert's knowledge on the diagnostic signal, which is generated by a gearbox system, on a base of mathematical modelling and computer simulation.

Research on the Imbalance-Crack Coupling Fault Diagnosis Based on Wavelet Packet and Energy Spectrum Analysis

2011 ◽  
Vol 143-144 ◽  
pp. 675-679 ◽  
Author(s):  
Fu Ze Xu ◽  
Xue Jun Li ◽  
Guang Bin Wang ◽  
Da Lian Yang
Keyword(s):  
Mechanical Properties ◽  
Fault Diagnosis ◽  
Energy Spectrum ◽  
Spectrum Analysis ◽  
Wavelet Packet ◽  
Rotating Machinery ◽  
Vibration Acceleration ◽  
Acceleration Signal ◽  
Coupling Fault ◽  
Fault Information

It is common for the imbalance-crack coupling fault in rotating machinery, while the crack information is often overshadowed by unbalanced fault information, which is difficult to extract the crack signal. In order to extract the crack signal of the imbalance-crack coupling fault, and realize the fault diagnosis, the paper mainly analyzes its mechanical properties, and then use wavelet packet to de-nosing, decomposing and reconstructing the acquisition of vibration acceleration signal, and then analyzing the characteristics of frequency domain of the fault signal by using the energy spectrum. So the experiment proved that analyze and dispose the acquisition of the fault signal by using the method of the energy spectrum and the wavelet packet, which can effectively distinguish between the crack signal and unbalanced signals in imbalance-crack coupling faults .It also can provide some reference for the diagnosis and prevention for such fault.

A STUDY OF THE INFLUENCE OF FRICTION FORCES ON THE TRANSMISSION OF SOIL VIBRATION ON GAS PIPELINES

Tribologia ◽  
2017 ◽  
Vol 272 (2) ◽  
pp. 49-58 ◽  
Author(s):  
Wacław GAWĘDZKI ◽  
Jerzy TARNOWSKI
Keyword(s):  
Friction Force ◽  
Field Experiments ◽  
Tensile Force ◽  
Variable Parameter ◽  
Gas Pipeline ◽  
Vibration Acceleration ◽  
Friction Forces ◽  
Acceleration Signal ◽  
Acceleration Signals ◽  
Pipe Vibration

The article presents the influence of friction force values during the contact of a gas pipeline with sand pack on the transmission of soil vibrations on a tested pipe section. Field experiments were carried out on standard gas pipeline insulations subjected to dynamic interactions. The load sources comprised artificially generated soil vibrations with an impulsive character. Within the course of experiments, soil and pipe vibration acceleration signals were registered for different values of friction forces in its contact with the soil. The value of friction forces being a variable parameter during experiments were applied by the change of values of the tension static force of the gas pipeline section. The analysis of the registered soil and pipe vibration acceleration signals were conducted based on the time-domain signal decomposition method, Hilbert-Huang Transform (HHT). This method enables one to decompose the non-stationary vibration acceleration signal into narrowband components. For each component, a course of instantaneous values for frequency and amplitude was specified. The dependence of the pipe vibration acceleration amplitude on the pipe tensile force and friction force of the pipe in the contact with the soil was demonstrated.

High Order Spectrum Characteristics of the Elevator Fault

2012 ◽  
Vol 605-607 ◽  
pp. 739-743
Author(s):  
Yue Kun Zheng ◽  
Yi Jian Huang
Keyword(s):  
High Order ◽  
Normal Operation ◽  
Signal Spectrum ◽  
Analysis Tool ◽  
Analysis Method ◽  
Vibration Acceleration ◽  
Acceleration Signal ◽  
Order Spectrum ◽  
Spectrum Characteristics ◽  
Acceleration Signals

Used the high order spectrum and slice analysis method, studied the elevator running vibration acceleration signals and calculated the trispectrum two dimensional slices, bispectrum and theirs diagonal slices, under different running conditions. The results show that: when the elevator normal operation the acceleration signal spectrum peaks concentration, otherwise the acceleration signal peaks dispersion; in fault condition, compared to bispectrum peaks trispectrum peaks is sharper. High order spectrum contains abundant information of different fault elevator running details. It is a suitable analysis tool for diagnosing the faults of elevator.

scholarly journals A Reliable Health Indicator for Fault Prognosis of Bearings

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3740 ◽  
Author(s):  
Bach Duong ◽  
Sheraz Khan ◽  
Dongkoo Shon ◽  
Kichang Im ◽  
Jeongho Park ◽  
...  
Keyword(s):  
Wavelet Packet ◽  
Health Indicators ◽  
Remaining Useful Life ◽  
Poor Correlation ◽  
Discrete Wavelet ◽  
Health Indicator ◽  
Vibration Acceleration ◽  
Discrete Wavelet Packet Transform ◽  
Acceleration Signal ◽  
Gradient Based

Estimation of the remaining useful life (RUL) of bearings is important to avoid abrupt shutdowns in rotary machines. An important task in RUL estimation is the construction of a suitable health indicator (HI) to infer the bearing condition. Conventional health indicators rely on features of the vibration acceleration signal and are predominantly calculated without considering its non-stationary nature. This often results in an HI with a trend that is difficult to model, as well as random fluctuations and poor correlation with bearing degradation. Therefore, this paper presents a method for constructing a bearing’s HI by considering the non-stationarity of the vibration acceleration signals. The proposed method employs the discrete wavelet packet transform (DWPT) to decompose the raw signal into different sub-bands. The HI is extracted from each sub-band signal, smoothened using locally weighted regression, and evaluated using a gradient-based method. The HIs showing the best trends among all the sub-bands are iteratively accumulated to construct an HI with the best trend over the entire life of the bearing. The proposed method is tested on two benchmark bearing datasets. The results show that the proposed method yields an HI that correlates well with bearing degradation and is relatively easy to model.

The Analysis on Fire Smoke Exhausting Robot Vibration Based on Wavelet Transform

2011 ◽  
Vol 328-330 ◽  
pp. 1887-1891 ◽  
Author(s):  
Shu Fang ◽  
Bin Hu ◽  
Sheng Peng Liu
Keyword(s):  
Wavelet Transform ◽  
Feature Recognition ◽  
Harmonic Excitation ◽  
Continuous Wavelet ◽  
Vibration System ◽  
Vibration Acceleration ◽  
Acceleration Signal ◽  
Vibration Model ◽  
Fire Smoke ◽  
Data Acquisition Card

Belt relaxation, which affects a lot on operation reliability of the fire smoke exhausting robot, is hard to detect. In this paper, a new method for belt relaxation feature recognition based on continuous wavelet transform (CWT) is proposed, and a vibration model which simplified the robot as a 2-dof forced vibration system under harmonic excitation is established. The vibration acceleration signal has been collected using the IEPE sensor and data acquisition card, experimental results verified the accuracy of the vibration model, and weak impact signal caused by the belt relaxation was distinguished, that testify the practicability of the CWT method in belt relaxation feature recognition.

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