scholarly journals The Use of Acoustic Emission Elastic Waves for Diagnosing High Pressure Mud Pumps Used on Drilling Rigs

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1138
Author(s):  
Artur Bejger ◽  
Tomasz Piasecki
Keyword(s):  
High Pressure ◽  
Signal Processing ◽  
Acoustic Emission ◽  
Wavelet Packet ◽  
Technical Condition ◽  
Drilling Rig ◽  
Invasive Method ◽  
Pump Valve ◽  
Drilling Rigs ◽  
Frequency Band Energy

Although mud pumps are vital components of a drilling rig, their failures are frequent. The identification of technical condition of these high-pressure piston pumps is difficult. There are no reliable criteria for the assessment of mud pump condition. In this paper, faults of the pump valve module are identified by means of acoustic emission (AE) signals. The characteristics of these signals are extracted by wavelet packet signal processing. This method has been verified by experiments conducted on a NOV (National Oilwell Varco) -made triplex 14-P-220 mud pump (mounted in the drillship). The results show that the wavelet packet signal processing method can effectively extract the frequency band energy eigenvalues of the signals. Besides, some operational problems associated with high pressure piston mud pumps are presented. A non-invasive method for diagnosing the technical condition of such pumps is being developed at the Maritime University of Szczecin.

Wavelet Packet analyses of Acoustic Emission Signal for Tool Wear in High Speed Milling

2013 ◽  
Vol 589-590 ◽  
pp. 600-605
Author(s):  
Shun Xing Wu ◽  
Peng Nan Li ◽  
Zhi Hui Yan ◽  
Li Na Zhang ◽  
Xin Yi Qiu ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Tool Wear ◽  
Acoustic Emission Signal ◽  
High Speed ◽  
Feature Vector ◽  
Wavelet Packet ◽  
High Speed Milling ◽  
Band Energy ◽  
Emission Signal ◽  
Frequency Band Energy

Tool wear condition monitoring technology is one of the main parts of advanced manufacturing technology and is a hot research direction in recent years. A method based on the characteristics of acoustic emission signal and the advantages of wavelet packets decomposition theory in the non-stationary signal feature extraction is proposed for tool wear state monitoring with monitor the change of acoustic emission signal feature vector. In this paper, through the method, firstly, acoustic emission signal were decomposed into 4 layers with wavelet packet analysis, secondly, the frequency band energy of the have been decomposed signal were extracted, thirdly, the frequency band energy that are sensitive to tool wear were selected as feature vector, and then the corresponding relation between feature vector and tool wear was established , finally, the state of the tool wear can be distinguished according to the change of feature vector. The results show that this method can be feasibility used to monitor tool wear state in high speed milling.

Technologies for Monitoring the Dynamics of Damage Development in Drilling Rigs Using High-Order Moments of the Noise

2020 ◽  
Vol 21 (4) ◽  
pp. 213-223
Author(s):  
T. A. Aliev ◽  
N. F. Musaeva ◽  
B. I. Gazizade
Keyword(s):  
Latent Period ◽  
Technical Condition ◽  
High Order ◽  
Damage Development ◽  
Vibration Signals ◽  
Damage Initiation ◽  
Drilling Rig ◽  
Noise Characteristics ◽  
Wide Range ◽  
Drilling Rigs

The paper deals with the development of algorithms for calculating the high-order moments of the noise of noisy signals and their use in the analysis of the technical condition of industrial facilities. It is shown that for monitoring and controlling the onset of an emergency at oil production facilities, random vibration signals are used, which, in addition to the noise caused by external factors at the time of the initiation of the malfunction, also contain additional noise. The characteristics of this noise contain certain information about the technical condition of the drilling rig. Earlier, algorithms were developed for calculating the variance, standard deviation, and density distribution function of the noise that cannot be separated from the noisy signal. In this paper, it is shown that high-order moments of the noise can be used as a diagnostic indicator for determining the presence and degree of damage development in drilling rigs during the latent period of damage initiation. Possible options for calculating the high-order moments of the noise are analyzed. Recursive algorithms are developed for expressing high-order moments of a normally distributed noise through its variance. The possibility of calculating the high-order moments of the noise through the distribution density functions is also shown. A matrix consisting of estimates of the high-order moments of the noise calculated at different instants of time is built. It is shown that at the first stage, it is possible to determine the presence and degree of the damage based on the values of the matrix elements. At the second stage, the intensity of damage development is determined by comparing the values of the noise characteristics at different instants of time. Calculations are performed for all signals coming from the sensors. Training is carried out and, the correspondence is established between the values of the high-order moments and degrees and intensity of damage development. The possibility of using the proposed algorithms and technologies in the system of noise control of the beginning and development dynamics of accidents at drilling rigs is shown. It is noted that even if the estimates of the high-order moments of the sum noisy vibration signals change within a wide range during drilling, their high-order noise moments do not exceed a predetermined value in the absence of a malfunction. In the event of a malfunction, the estimates of the highorder moments of the noise exceed the predetermined threshold level and, as the defect develops, their values also change. If adverse processes are stabilized, the variation of these estimates stops as well. Moreover, depending on the degree and intensity of stabilization of the technical condition of the drilling rig, the change in the estimates of the moments, starting from the highest to the lowest or vice versa, stops one by one. This specific feature of estimates of high-order noise moments of vibration signals allows us to identify the beginning and to control the development dynamics of the latent period of an emergency state of the drilling process. 

Problems in diagnostics and forecasting for the resource of wire ropes in drilling rigs

2020 ◽  
pp. 100-109
Author(s):  
V. V. Piven ◽  
E. Yu. Moskvina ◽  
V. V. Pivdiablyk
Keyword(s):  
Operating Time ◽  
Flaw Detection ◽  
Complex Stress ◽  
Technical Condition ◽  
Wire Rope ◽  
Detection Methods ◽  
Drilling Rig ◽  
Scientific Technical ◽  
Accuracy Increase ◽  
Drilling Rigs

Continuous monitoring of the rig's technical condition is necessary for efficient use of the rig's wire rope resource. A classification of steel ropes used in the industry has been compiled. The characteristics of the pulley-block rope pulley to power drilling rigs are given. The analysis of recommendations for the selection and operation of rope hoists is carried out. The reasons for the occurrence of complex stress-strain states of the rope during its operation are considered. The analysis of methods for calculating the load-bearing capacity of wire rope and determining the fatigue strength is given. Comparative data on the actual standard operating time of wire rope are given. The scientific problem of predicting the residual resource of wire rope is analytically investigated. For operational control of defects in steel ropes, the prospects of using magnetic flaw detection methods are considered. The article draws our attention to the need to implement the following scientific, technical, and technological solutions, such as improving the design of pulley-block system of drilling rigs; accuracy increase of diagnosis of technical condition and forecasting of resource strings; maintenance of wire rope; this will contribute to a more complete use of wire rope in drilling rig.

Quantitative acoustic emission investigation on the crack evolution in concrete prisms by frequency analysis based on wavelet packet transform

2021 ◽  
pp. 147592172110188
Author(s):  
Zonglian Wang ◽  
Keqin Ding ◽  
Huilan Ren ◽  
Jianguo Ning
Keyword(s):  
Acoustic Emission ◽  
Frequency Band ◽  
Wavelet Packet ◽  
Strain Energy Release ◽  
Crack Size ◽  
Frequency Bands ◽  
Emission Signal ◽  
Damage Process ◽  
Concrete Materials ◽  
Stage 1

To gain an insight into the evolution of micro-cracks in concrete materials, a quantitative acoustic emission investigation on the damage process of concrete prisms subjected to three-point bending loading was performed. Each of the monitored acoustic emission signals was processed by a two-level wavelet packet decomposition into four different frequency bands (AA2, DA2, AD2, and DD2), and the energy coefficients R1, R2, R3, and R4 that parameterize their characteristic frequency bands were calculated. By analyzing variations in energy coefficients of the lowest frequency band (AA2), R1, and the energy coefficients of the highest frequency band (DD2), R4, the whole damage process was divided into three stages: crack initiation, crack growth, and crack coalescence. An inverse relationship between the frequency of the acoustic emission signal emitted by the propagating crack and the crack size in concrete materials was acquired based on the damage theory of brittle materials and the strain energy release theory. The statistical analysis results of the experimental data indicated that the average of R1 increased in turn, and the average of R4 correspondingly decreased in turn from Stage 1 to Stage 3. It revealed that the frequencies of acoustic emission signals decreased gradually with the evolution of the damage of concrete prisms, which is in a good agreement with the theoretical analysis result.

Acoustic emission detection for mass fractions of materials based on wavelet packet technology

Ultrasonics ◽  
2015 ◽  
Vol 60 ◽  
pp. 27-32 ◽  
Author(s):  
Xianghong Wang ◽  
Jianjun Xiang ◽  
Hongwei Hu ◽  
Wei Xie ◽  
Xiongbing Li
Keyword(s):  
Acoustic Emission ◽  
Wavelet Packet ◽  
Mass Fractions ◽  
Emission Detection

Acoustic emission waveforms for damage monitoring in composite materials: Shifting in spectral density, entropy and wavelet packet transform

2021 ◽  
pp. 147592172110446
Author(s):  
Claudia Barile ◽  
Caterina Casavola ◽  
Giovanni Pappalettera ◽  
Vimalathithan Paramsamy Kannan
Keyword(s):  
Acoustic Emission ◽  
Spectral Density ◽  
Flicker Noise ◽  
Wavelet Packet ◽  
Research Work ◽  
Wavelet Packet Transform ◽  
Spectral Energy ◽  
Emission Data ◽  
Cfrp Composites ◽  
Damage Process

Signal-based acoustic emission data are analysed in this research work for identifying the damage modes in carbon fibre–reinforced plastic (CFRP) composites. The research work is divided into three parts: analysis of the shifting in the spectral density of acoustic waveforms, use of waveform entropy for selecting the best wavelet and implementation of wavelet packet transform (WPT) for identifying the damage process. The first two methodologies introduced in this research work are novel. Shifting in the spectral density is introduced in analogous to ‘flicker noise’ which is popular in the field of waveform processing. The entropy-based wavelet selection is refined by using quadratic Renyi’s entropy and comparing the spectral energy of the dominating frequency band of the acoustic waveforms. Based on the method, ‘dmey’ wavelet is selected for analysing the waveforms using WPT. The slope values of the shifting in spectral density coincide with the results obtained from WPT in characterising the damage modes. The methodologies introduced in this research work are promising. They serve the purpose of identifying the damage process effectively in the CFRP composites.

Theorical Analysis of Leakage in High Pressure Pipe Using Acoustic Emission Method

2012 ◽  
Vol 445 ◽  
pp. 917-922 ◽  
Author(s):  
Saman Davoodi ◽  
Amir Mostafapour
Keyword(s):  
High Pressure ◽  
Acoustic Emission ◽  
Degrees Of Freedom ◽  
Oil And Gas ◽  
Pipe Wall ◽  
Leak Detection ◽  
Stress Waves ◽  
Motion Equation ◽  
Non Linear ◽  
Acoustic Emission Test

Leak detection is one of the most important problems in the oil and gas pipelines. Where it can lead to financial losses, severe human and environmental impacts. Acoustic emission test is a new technique for leak detection. Leakage in high pressure pipes creates stress waves resulting from localized loss of energy. Stress waves are transmitted through the pipe wall which will be recorded by using acoustic sensor or accelerometer installed on the pipe wall. Knowledge of how the pipe wall vibrates by acoustic emission resulting from leakage is a key parameter for leak detection and location. In this paper, modeling of pipe vibration caused by acoustic emission generated by escaping of fluid has been done. Donnells non linear theory for cylindrical shell is used to deriving of motion equation and simply supported boundary condition is considered. By using Galerkin method, the motion equation has been solved and a system of non linear equations with 6 degrees of freedom is obtained. To solve these equations, ODE tool of MATLAB software and Rung-Kuta numerical method is used and pipe wall radial displacement is obtained. For verification of this theory, acoustic emission test with continues leak source has been done. Vibration of wall pipe was recorded by using acoustic emission sensors. For better analysis, Fast Fourier Transform (FFT) was taken from theoretical and experimental results. By comparing the results, it is found that the range of frequencies which carried the most amount of energy is same which expresses the affectivity of the model.

Conception and Practical Application of a Measuring Device for Energetic Parameters Measurement of a Mechatronic Object

2011 ◽  
Vol 180 ◽  
pp. 185-193 ◽  
Author(s):  
Aleksy Cwalina ◽  
Marcin Zacharewicz
Keyword(s):  
Synchronous Generator ◽  
Technical Condition ◽  
Measured Quantity ◽  
Structural Elements ◽  
Measuring Device ◽  
Non Invasive ◽  
Invasive Method ◽  
Method Of Evaluation ◽  
Parameters Measurement ◽  
Gas Pressures

In the article assumptions of the developed non-invasive method of evaluation technical condition of selected structural elements of the ship's diesel-electric set at limited monitoring susceptibility, when the engine is not equipped with indicator valves, are discussed. The method is based on simultaneous measurements of phase-to-phase voltage of the synchronous generator, exhaust gas pressures in the exhaust manifold, and vibration accelerations of some parts of the set. To the purpose of the accomplishment all measurements of energetic parameters at the same time, it turned out to be necessary to design and construct the measured quantity converter. In the paper requirements in relation to such a converter, technical project, and representative results of measurements conducted on a real object – diesel-electric set type ZE400/52 – are presented.

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