Study on the Relationship Between the Energy in Most Effective Frequency Range of Arc Sound Signal and the Change of Arc Height in Pulsed Al Alloy GTAW Process

2015 ◽  
pp. 385-399
Author(s):  
Huan-Huan Zhang ◽  
Na Lv ◽  
Shan-Ben Chen
Keyword(s):  
Sound Signal ◽  
Al Alloy ◽  
Frequency Range ◽  
Effective Frequency ◽  
Gtaw Process ◽  
The Relationship ◽  
Arc Sound ◽  
Arc Sound Signal

The Arc Sound Characteristic on MIG Weld Penetration

2010 ◽  
Vol 97-101 ◽  
pp. 3948-3951 ◽  
Author(s):  
Li Jun Liu ◽  
Lan Hu
Keyword(s):  
Welding Process ◽  
Sound Signal ◽  
Weld Penetration ◽  
Time Frequency ◽  
Sample Data ◽  
On Line ◽  
The Relationship ◽  
Arc Sound ◽  
Arc Sound Signal ◽  
Selection Of

Arc sound signal in MIG welding contains plenty of welding information, which is an important signal source of weld penetration. Aiming at on-line monitoring of weld penetration, the relationship between arc sound signal and penetration is analyzed in time-frequency domain through a reasonable selection of sample data. The results show that the spectrum of arc sound signal and penetration status are highly correlative. The changes of penetration can accurately detected by variation of signal energy from 1500 Hz to 4500 Hz in welding process. The above experiments verify the feasibility of monitoring the penetration through arc sound signal and provides theory and application foundation for penetration adaptive control.

A novel method for detecting the pantograph–catenary arc based on the arc sound characteristics

2018 ◽  
Vol 233 (5) ◽  
pp. 506-515 ◽  
Author(s):  
Wenfu Wei ◽  
Chongliang Liang ◽  
Zefeng Yang ◽  
Pan Xu ◽  
Xin Yan ◽  
...  
Keyword(s):  
High Speed ◽  
Average Energy ◽  
Sound Signal ◽  
Time Duration ◽  
Detection And Identification ◽  
Actual Operation ◽  
Catenary System ◽  
Line Level ◽  
Arc Sound ◽  
Arc Sound Signal

In recent years, the speed and the current transmission density of high-speed railways are increased. As a result, the rate of the occurrence of pantograph–catenary arc also increases, which directly influences the service performance of the pantograph–catenary system. The detection and identification of the pantograph–catenary arc is of great significance for evaluating the off-line level to ensure the safe operation of the pantograph–catenary system. The currently used conventional optical arc detection method would be distorted by strong sunlight or other environmental lights in the actual operation, which would affect the accuracy of detection. On the contrary, the arc sound signal is not affected by the diurnal variation and can be easily obtained; it can also be distinguished well from other interfering sounds. In this paper, a new method that uses the arc sound is proposed to realize the effective detection of the pantograph–catenary arc. The frequency spectrum and the intensity characteristics of the pantograph–catenary arc sound are analyzed. The results show that the frequency band of the arc sound signal is wide and mainly gets distributed at 5–17 kHz. The curve of the sound waveform is drawn by calculating the short-time average energy, which is used to obtain the arc’s starting time, duration, and intensity, for calculating the off-line rate.

Time-Domain Characteristics Analysis of Penetration Arc Sound Signal in MIG Welding

2010 ◽  
Vol 154-155 ◽  
pp. 453-456
Author(s):  
Li Jun Liu ◽  
Qi Wang ◽  
Lan Hu
Keyword(s):  
Time Domain ◽  
Sound Signal ◽  
Pitch Estimation ◽  
Zero Crossing ◽  
Butt Welding ◽  
Spray Transfer ◽  
Characteristics Analysis ◽  
Short Time ◽  
Arc Sound ◽  
Arc Sound Signal

Many important time-domain characteristic parameters are extracted through the short-time analysis of arc sound signal in MIG butt welding with spray transfer, which can be used for the diagnosis on the weld penetration status. And the short-time autocorrelation function and short-time average amplitude difference function are adopted to pitch estimation. The analysis results show that the penetration status can be accurately recognized via the short-time energy, average magnitude, average zero-crossing and zero-to-energy and so on. Meanwhile, the pitch estimation of arc sound signal in experiments is at 220 points, that is 5 ms or 200 Hz in cycle. The methods and results provide a foundation for the diagnosis on penetration based on analysis of arc sound signal and have great theoretical meaning and practical value.

Automatic measuring and processing system of audio sensing for real-time arc height control of pulsed GTAW

Sensor Review ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 51-66 ◽  
Author(s):  
Na Lv ◽  
Jiyong Zhong ◽  
Jifeng Wang ◽  
Shanben Chen
Keyword(s):  
Real Time ◽  
Linear Model ◽  
Environmental Noise ◽  
Sound Signal ◽  
Pulse Interference ◽  
Content Type ◽  
Height Control ◽  
Pulsed Gtaw ◽  
Arc Sound ◽  
Arc Sound Signal

Purpose – Surface forming control of welding bead is the fundamental study in automated welding. Considering that the vision sensing system cannot extract the height information of weld pool in pulsed GTAW process, so this paper designed a set of automatic measurement and control technology to achieve real-time arc height control via audio sensing system. The paper aims to discuss these issues. Design/methodology/approach – The experiment system is based on GTAW welding with acoustic sensor and signal conditioner. A combination denoising method was used to reduce the environmental noise and pulse interference noise. After extracting features of acoustic signal, the relationship between arc height and arc sound pressure was established by linear fitting. Then in order to improve the prediction accuracy of that model, the piecewise linear fitting method was proposed. Finally, arc height linear model of arc sound signal and arc height is divided into two parts and built in two different arc height conditions, which are arc height 3-4 and 4-5-6 mm. Findings – The combination denoising method was proved to have great effect on reducing the environmental noise and pulse interference noise. The experimental results showed that the prediction accuracy of linear model was not stable in different arc height changing state, like 3-4 and 4-5-6 mm. The maximum error was 0.635588 mm. And the average error of linear model was about 0.580487 mm, and the arc sound signal was accurately enough to meet the requirement for real-time control of arc height in pulse GTAW. Originality/value – This paper tries to make a foundation work to achieve controlling of depth of welding pool through arc sound signal, then the welding quality control. So a new idea of arc height control based on automatic measuring and processing system through arc sound signal was proposed. A new way to remove environmental noise and pulse interference noise was proposed. The results of this thesis had proved that arc sound signal was an effective features and precisely enough for online arc height monitoring during pulsed GTAW.

Sign in / Sign up

Export Citation Format

Share Document