EP1910814A2 - Method for error-free checking of tubes for surface faults - Google Patents
Method for error-free checking of tubes for surface faultsInfo
- Publication number
- EP1910814A2 EP1910814A2 EP06775800A EP06775800A EP1910814A2 EP 1910814 A2 EP1910814 A2 EP 1910814A2 EP 06775800 A EP06775800 A EP 06775800A EP 06775800 A EP06775800 A EP 06775800A EP 1910814 A2 EP1910814 A2 EP 1910814A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- data
- memory
- signals
- digital
- transformation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/90—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws using eddy currents
- G01N27/9013—Arrangements for scanning
- G01N27/9026—Arrangements for scanning by moving the material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
Definitions
- the invention relates to a method for non-destructive testing of pipes for surface defects according to the preamble of claim 1 or 6.
- Non-destructive methods for testing metallic pipes for surface defects such as leakage flux testing, have long been known and proven.
- the DC field leakage flux test used in particular for the detection of discontinuities on the tube inner wall is used in pipes made of ferromagnetic steel, in particular longitudinally oriented, near-surface discontinuities, such. As cracks, shells or bumps to detect.
- Stray flux signals are detected by inductive coils, Hall probes or GMR probes. In any case, these signals are to some extent noisy and provided with a long-wave underground. In classical denoising, the signals are de-noiseed by means of analog filter technology and a differential technique for suppressing the long-wave components can be used. In the process, the analog filter technology quickly reaches its limits, since the leakage flux error signals can often be found in similar frequency ranges as the interference signals of the background. Furthermore, the danger is that you are interesting Filtering out signals that would actually have to be displayed, when using differential techniques very large.
- wave-let algorithms are particularly well suited for this task.
- wavelets are used as a filter criterion, since they can have a high similarity with the useful signals.
- wavelet filters With the help of wavelet filters a much more effective noise suppression can be realized compared to conventional filter techniques.
- wavelet transform an extension of the Fourier transform, projects the original signal onto wavelet basis functions, which is a time-domain to frequency-time-domain representation.
- wavelet functions which are localized in the time and frequency domain, are derived from a single prototype wavelet, the so-called parent function, by dilation and translation.
- the aim is to use the wavelet transformation to significantly reduce the noise level in comparison to the error signal.
- the known method generally discloses the advantageous use of the wavelet algorithms for noise suppression in monitoring industrial processes.
- it is essential to carry out the analysis of the signals from the non-destructive testing virtually in real time in order to be able to have a direct influence on the production flow in the event of errors occurring (eg assignment of the defect by marking the defect) Pipe section, or stop the production).
- no information is given in DE 102 25 344 A1.
- leakage flux testing involves the problem that the data to be recorded and evaluated must be made available to the surface inspection on pipes in near real-time in order to enable intervention in the ongoing production process in the event of errors occurring.
- the object of the invention is to provide a safe and cost-effective method and apparatus for non-destructive testing of pipes by means of leakage flux, with the with Using the wavelet transformation a real-time detection and evaluation of the data in relation to surface defects of the pipe is possible.
- this object is achieved for the leakage flux test, according to claim 1, characterized in that the near-real-time detection and evaluation is done with the following steps:
- the variant shown on the left side 1 describes the waveform of a signal channel for real-time signal processing in a leakage flux test and an analog input or output, as described for. B. existing in existing facilities.
- the leakage flux signals are detected by inductive coils, Hall probes or GMR sensors. After the sensors and the subsequent preamplifiers there is a continuous, analog signal current. The frequency content and signal levels are determined by the transmission characteristics of the preamplifiers.
- the A / D converter converts the analog signal into a continuous data stream of digital data (discrete-time signal). Due to Nyquist theorem, the maximum frequency is given by half the sampling rate. The sampling rate also limits the local resolution of the leakage flux signal.
- A first memory
- B second memory
- the data is copied within a short time between two digital data points, so that after copying the data from the first memory (A) to the second memory (B), new data can again enter the first memory (A).
- the filtered data of the second memory (B) are advantageously copied into a third memory (C).
- the output of the filtered signals from the third memory (C) is done with the same clock rate as the filling of the first memory (A), so that there are always exactly as many input and output data.
- the time for filtering in this method is below the time it takes for the system to fill or empty the input and output memory, respectively. This method thus results in a temporal offset between the signal sequence of exactly k data points.
- the output signals of the third memory (C) are converted via a D / A converter with smoothness stage again into an analog continuous measurement signal, which can be fed to an existing analog data acquisition system. It must also be noted that the levels and frequency response of the signals are determined by the D / A module, any adaptation is realized by a further amplifier module.
- the data is not processed block-wise with k data points (as described above), but the filter operates so fast that the execution time is less than the time between the arrival of the data points. Then the filter can always be executed on the last k data points and you also get a filtered data point per entered data point.
- the temporal offset between input and output data is the highest one data point.
- Variant 2 shown on the right-hand side in FIG. 1 describes the signal profile for real-time signal processing in a leakage flux test and an analogue input and a digital output, as is possible for the novel design of stray-flux testing systems.
- the data is supplied to the digital signal processor (DSP) in accordance with the methods explained above, but without the subsequent D / A conversion.
- DSP digital signal processor
- the filtered data in memory (C), not shown here, can then be supplied digitally directly to a higher-level data processing system.
- the error evaluations and further processing of the signals can be performed directly on the DSP.
- FIG. 2 shows by way of example a measurement signal of a leakage flux test for faults on the inner surface of a pipe on the basis of a graph.
- the upper part of the graph shows the course of the detected leakage flux signal without filtering. A possible error signal in the signal curve can not be determined from this without doubt.
- the lower part of the graph shows the error signal of an internal error filtered by means of the wavelet transformation from the leakage energy signal, which is displayed as a function of previously set threshold values.
Landscapes
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
Description
Claims
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE200510036509 DE102005036509A1 (en) | 2005-07-29 | 2005-07-29 | Checking method for recording and analysis of surface faults of tubes, involves comparison of determined parameter with reference parameter whereby determined error signal is unambiguously assigned to error on tube surface |
DE102005063352A DE102005063352B4 (en) | 2005-07-29 | 2005-07-29 | Non-destructive testing of pipes for surface defects |
DE200610035599 DE102006035599A1 (en) | 2005-07-29 | 2006-07-27 | Non-destructive testing of pipes for surface defects |
PCT/DE2006/001361 WO2007012331A2 (en) | 2005-07-29 | 2006-07-28 | Method for error-free checking of tubes for surface faults |
Publications (1)
Publication Number | Publication Date |
---|---|
EP1910814A2 true EP1910814A2 (en) | 2008-04-16 |
Family
ID=37945836
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP06775800A Ceased EP1910814A2 (en) | 2005-07-29 | 2006-07-28 | Method for error-free checking of tubes for surface faults |
Country Status (6)
Country | Link |
---|---|
US (1) | US7783432B2 (en) |
EP (1) | EP1910814A2 (en) |
AR (1) | AR054887A1 (en) |
CA (1) | CA2616897C (en) |
MX (1) | MX2008001357A (en) |
WO (1) | WO2007012331A2 (en) |
Families Citing this family (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102008024394A1 (en) * | 2008-05-15 | 2009-12-03 | V&M Deutschland Gmbh | Non-destructive testing of pipes |
US8187897B2 (en) * | 2008-08-19 | 2012-05-29 | International Business Machines Corporation | Fabricating product chips and die with a feature pattern that contains information relating to the product chip |
DE102010062191B4 (en) * | 2010-11-30 | 2012-06-28 | Siemens Aktiengesellschaft | Pipeline system and method for operating a pipeline system |
CN102841133B (en) * | 2012-09-26 | 2015-03-18 | 中国船舶重工集团公司第七一〇研究所 | Lossless real-time detecting method and system for magnetic conductive material |
US11029283B2 (en) | 2013-10-03 | 2021-06-08 | Schlumberger Technology Corporation | Pipe damage assessment system and method |
WO2015187923A1 (en) | 2014-06-04 | 2015-12-10 | Schlumberger Canada Limited | Pipe defect assessment system and method |
US10877000B2 (en) * | 2015-12-09 | 2020-12-29 | Schlumberger Technology Corporation | Fatigue life assessment |
WO2017161064A1 (en) | 2016-03-18 | 2017-09-21 | Schlumberger Technology Corporation | Tracking and estimating tubing fatigue in cycles to failure considering non-destructive evaluation of tubing defects |
CN106346624A (en) * | 2016-09-26 | 2017-01-25 | 高团结 | Production method of high-voltage crosslinkable polyethylene cable material |
CN106501372B (en) * | 2016-10-27 | 2019-02-12 | 广州地铁集团有限公司 | Monitoring and positioning method based on wavelet packet analysis track switch crackle |
CN108062071B (en) * | 2017-12-20 | 2020-02-21 | 天津大学 | Real-time measuring method for parameter curve track servo contour error |
CN111579637B (en) | 2020-06-11 | 2022-04-29 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | Nondestructive testing method and device for detecting and distinguishing internal and external defects of steel wire rope |
CN114609237A (en) * | 2022-03-29 | 2022-06-10 | 北京市燃气集团有限责任公司 | Pipeline damage detection method and device |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE2925924C2 (en) | 1979-06-27 | 1983-04-21 | Institut Dr. Friedrich Förster Prüfgerätebau GmbH & Co KG, 7410 Reutlingen | Probe arrangement for scanning the surface of a magnetized ferromagnetic test part |
EP0624793A1 (en) | 1993-05-03 | 1994-11-17 | Tuboscope Vetco (Deutschland) Gmbh | Method and apparatus for the determination of magnetic inhomogeneities in a sample of magnetisable material |
US6009385A (en) | 1994-12-15 | 1999-12-28 | British Telecommunications Public Limited Company | Speech processing |
EP0834845A1 (en) | 1996-10-04 | 1998-04-08 | Cerberus Ag | Method for frequency analysis of a signal |
DE19823453C2 (en) | 1998-05-18 | 2000-04-27 | Mannesmann Ag | Leakage flux probe for the non-destructive testing of elongated, rotationally symmetrical bodies |
US6382029B1 (en) * | 2000-03-07 | 2002-05-07 | The United States Of America As Represented By The Secretary Of Commerce | Apparatus and method for utilizing electromagnetic acoustic transducers to non-destructively analyze in-service conductive materials |
DE10225344A1 (en) | 2002-06-06 | 2003-12-24 | Abb Research Ltd | Signal to noise ratio determination method for use with a digitized measurement series, whereby the statistical properties of both reported and reference values are used in ratio determination |
US7231320B2 (en) * | 2004-11-22 | 2007-06-12 | Papadimitriou Wanda G | Extraction of imperfection features through spectral analysis |
US7795864B2 (en) * | 2005-03-11 | 2010-09-14 | Baker Hughes Incorporated | Apparatus and method of using multi-component measurements for casing evaluation |
-
2006
- 2006-07-28 CA CA2616897A patent/CA2616897C/en active Active
- 2006-07-28 EP EP06775800A patent/EP1910814A2/en not_active Ceased
- 2006-07-28 US US11/997,065 patent/US7783432B2/en active Active
- 2006-07-28 MX MX2008001357A patent/MX2008001357A/en active IP Right Grant
- 2006-07-28 WO PCT/DE2006/001361 patent/WO2007012331A2/en active Application Filing
- 2006-07-31 AR ARP060103327A patent/AR054887A1/en active IP Right Grant
Non-Patent Citations (1)
Title |
---|
See references of WO2007012331A2 * |
Also Published As
Publication number | Publication date |
---|---|
WO2007012331A3 (en) | 2007-04-19 |
US7783432B2 (en) | 2010-08-24 |
CA2616897C (en) | 2015-06-16 |
WO2007012331A2 (en) | 2007-02-01 |
CA2616897A1 (en) | 2007-02-01 |
US20080228412A1 (en) | 2008-09-18 |
MX2008001357A (en) | 2008-04-16 |
AR054887A1 (en) | 2007-07-25 |
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