Steel drum leakage detection signal processing based on time-frequency domain (1)

Steel drum leakage detection signal processing based on time-frequency domain (1)

Van Persie

【Summary】

Steel drum is an important packaging container in modern life. It is widely used in chemical, petroleum and paint light in the process of storage, transportation and use of various liquid and solid commodities with its excellent corrosion resistance, high strength, safety and reliability. Packaging of products such as work and food. Because of the wide application of steel drums, the leakage problem is paying more and more attention, especially in important places such as petroleum, chemical, and dangerous goods packaging. If leakage occurs, it will not only affect economic benefits, but also cause safety problems.

Leak testing of steel drums is the most important process in steel drum production processes and applications. The research on the new steel drum leak detection method has great significance in improving the production efficiency of steel drum and the safe application of daily life. With the rapid development of computer processing capabilities, the leak detection of steel drums has also been significantly improved. This paper uses MATLAB software time-frequency analysis method and GUI platform, combined with the existing acoustic emission detection technology, to design a steel barrel leak detection system, which can analyze the steel barrel leakage signal and effectively detect the steel barrel leakage. Has good adaptability. In the experiment, the time-frequency analysis method of the signal is used to extract the characteristic parameters of the leakage signal, and the feasibility of detecting the acoustic emission leakage signal of the steel drum is verified.

In this paper, the analysis of the acoustic emission signal waveform of steel drum leakage confirms the feasibility of acoustic emission technology for steel barrel leakage detection, which can improve the efficiency of steel drum production and the safety of daily application, and apply acoustic emission technology to steel barrel leakage detection. And other metal material fault detection provides new ideas.

Key words: steel barrel leak detection, acoustic emission technology, time-frequency analysis, MATLAB GUI

Chapter One Introduction

1.1 Introduction

With the development of the economy and the improvement of living standards, environmental protection and economic development have become the focus of today's society, and the voice of environmental protection has spread throughout the world. The packaging industry is closely related to human life, and the pollution caused by packaging is also increasing. At home and abroad, in order to reduce the environmental pollution of packaging industry, a lot of financial resources and energy have been invested. Nevertheless, like all other industrial sectors, the packaging industry does not really address the environmental pollution and the impact on public sanitation.

Steel drum is an important packaging container. It is widely used in food, petroleum, chemical, and paint light industry in the transportation, storage and use of various solid and liquid commodities with its excellent corrosion resistance, high strength, safety and reliability. And other product packaging. Because of the wide application of steel drums, the leakage problem is paying more and more attention, especially in important places such as petroleum, chemical, and dangerous goods packaging. If leakage occurs, it will not only affect economic benefits, but also cause safety problems. In recent years, many accidents have occurred due to leakage of steel drums, most of which are serious environmental pollution accidents. In the production and application of steel drums, leak detection of steel drums is the most important process. Therefore, the leakage of steel drums cannot be ignored.

1.2 Methods and techniques for leak detection of steel drums

In developed countries in Europe and America, the detection of leakage of metal containers and steel drums is highly valued, and various relevant regulations and standards are becoming more and more strict and clear. Therefore, in order to control and ensure the quality of steel drum production and use process, it is necessary for manufacturers to understand the latest detection technology and treatment methods. In recent years, the manufacturing technology of steel drums in China has made obvious progress with the development of the economy, but the leak detection technology of steel drums is obviously backward. At present, it still stays at the level of the 1950s and 1960s, and obviously cannot keep up. The pace of development of relevant foreign advanced technologies. For steel drums, pollution, loss and damage caused by leakage have caused serious environmental pollution and economic losses for a long time. With the development of society, more and more attention is paid to product quality, environmental protection and human health. The barrel must reach zero leakage [1].

For many years, the leak test of steel drums has been carried out in the form of various blisters. This test method is relatively simple, that is, applying soapy water to the leak on the steel drum or placing the steel drum in the water, and then going to the steel drum. Inject air continuously and compress it to see if the steel drum will bubble or not to judge whether the steel drum leaks. Although this method can detect the relatively small leakage of the steel drum and can see its exact position, this detection method can not detect the leakage rate of the steel drum, and it has the following disadvantages: First, the labor intensity is large. The detection efficiency is low. Second, after the blister leak detection, the surface of the steel drum has been contaminated by soap bubbles or water, and must be treated before entering the next process, otherwise it will affect the quality of the subsequent coating or rust the surface [1].

At present, in some automatic drum production lines in China, many are equipped with a standard leak detection system, which is the result of the introduction of foreign advanced technology equipment, but in practical applications, the desired results have not been achieved. At present, relatively new steel barrel leak detection methods include pressure decay method, vacuum attenuation method, helium gas detection method, and pressure measuring element method.
The advanced steel barrel leak detection technology not only has high precision and high production efficiency, but also has no effect on the quality of the steel drum itself. In China's barrel industry, the leak detection technology is relatively backward, and many barrel companies only pay attention to the production technology of steel barrels. They spend a lot of effort to improve and introduce advanced production equipment without the leak detection technology. Improve and value. Therefore, even if the production equipment is good, if the leak detection technology is still in the original and backward state, it is not conducive to the development of the steel barrel industry and the safe application of steel drums.

At present, the leak detection technology of steel drums in China needs to be improved. While vigorously introducing and purchasing advanced production equipment, enterprises should not neglect the improvement of leak detection technology of steel drums, and also hope that relevant management departments and steel barrel production equipment Manufacturing companies should pay attention to the introduction and application of foreign leak detection technology.

1.3 The content and significance of the research in this paper

1.3.1 Content of the study

The main research in this paper is the analysis and processing of the acoustic emission signal of the steel drum, and the characteristic parameters of the acoustic emission source are extracted. The related problem involved in this is to first understand the different activities of the internal activities of the leaking acoustic sources of the steel drum resulting in different characteristics of the acoustic emission signal, and then use the digital signal processing method to analyze and extract the characteristics of the acoustic emission signal of the steel leakage source. The specific research contents are as follows:

1. The characteristics of the mechanism of the leakage acoustic emission signal and the processing method of the signal are mainly introduced.

2. The FIR-type bandpass filter is used to effectively denoise the leaked acoustic emission signal.

3. Mainly use the time-frequency domain analysis method to find the RMS and ASL in the time domain of the acoustic emission signal, and use the power spectrum estimation, fast Fourier transform, Hilbert transform and time-frequency distribution edge in the frequency domain. The signal analysis method such as characteristics analyzes the leakage acoustic emission signal of the steel drum and extracts the characteristic value of the leakage signal.

4. Using MATLAB's graphical user interface to design a steel barrel leak acoustic emission signal detection system.

1.3.2 Significance of the study

The purpose of the acoustic emission detection technology is to evaluate the activity of the acoustic emission source (ie, the leakage source) by analyzing the characteristics of the collected acoustic emission signals of the steel drum. The source of the acoustic emission signal is the steel drum leakage source itself, which has important characteristic information of the steel barrel leakage source. The acoustic emission source activity characteristic parameters can be obtained by analyzing and processing the leakage acoustic emission signal of the steel drum, which is different from other detection methods. Therefore, the acoustic emission detection technology has a good application prospect in the aspects of equipment running state detection and security alarm, and thus the application of the acoustic emission detection technology is more and more extensive. However, since the acoustic emission signal is easily interfered by external signals and has its own complex composition characteristics, its application is greatly limited, mainly because the acoustic emission signal lacks an effective processing method.

In this paper, the characteristics of the signal are analyzed in the time domain and frequency domain of the leaked acoustic emission signal respectively. Extracting the characteristic parameters of the leakage acoustic emission signal solves this problem to some extent.

[1] Yang Wenliang. Steel drum and environment [J]. China Packaging News, 2001 (04): 1-5.

[2] Yang Wenliang. China's steel barrel market [J]. Shanghai Packaging News, 2003 (05): 1-3.

[3] Yang Wenliang. Development of leak detection technology for metal containers [J]. China Packaging News, 2008 (05): 1-3.

[4] Yang Wenliang. Leak detection technology for metal containers [J]. Enterprise Technology and Development, 2008 (03): 51-52.

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Steel drum leakage detection signal processing based on time-frequency domain (1)

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Steel drum leakage detection signal processing based on time-frequency domain (5)

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