EP1910814A2 - Procede de verification non destructive de tuyaux, pour detecter d'eventuels defauts superficiels - Google Patents

Procede de verification non destructive de tuyaux, pour detecter d'eventuels defauts superficiels

Info

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
Application number
EP06775800A
Other languages
German (de)
English (en)
Inventor
Thomas Orth
Stefan Nitsche
Till Schmitte
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Vallourec Deutschland GmbH
Original Assignee
V&M Deutschland GmbH
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from DE200510036509 external-priority patent/DE102005036509A1/de
Priority claimed from DE102005063352A external-priority patent/DE102005063352B4/de
Application filed by V&M Deutschland GmbH filed Critical V&M Deutschland GmbH
Publication of EP1910814A2 publication Critical patent/EP1910814A2/fr
Ceased legal-status Critical Current

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.

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  • 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

L'invention concerne la détection et l'évaluation pratiquement en temps réel de données concernant des défauts superficiels. A cet effet, il est prévu les étapes suivantes: transmettre des signaux à un préamplificateur; convertir les signaux analogiques en un flux continu de données numériques; conserver le flux de données en mémoire tampon dans une première mémoire (A); remplir la première mémoire (A) avec k points de données; copier les k points de données de la première mémoire (A) dans une seconde mémoire (B), en un temps réduit entre les deux points de données numériques et remplir à nouveau simultanément la première mémoire (A) de nouvelles données; transformer les données copiées, par transformation par ondelettes et filtrer ou modifier les coefficients d'ondelettes obtenus; comparer la valeur d'appréciation avec une valeur de référence, un signal d'erreur obtenu pouvant être alloué de manière univoque à la position du défaut.
EP06775800A 2005-07-29 2006-07-28 Procede de verification non destructive de tuyaux, pour detecter d'eventuels defauts superficiels Ceased EP1910814A2 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
DE200510036509 DE102005036509A1 (de) 2005-07-29 2005-07-29 Verfahren zur zerstörungsfreien Prüfung von Rohren auf Oberflächenfehler
DE102005063352A DE102005063352B4 (de) 2005-07-29 2005-07-29 Verfahren zur zerstörungsfreien Prüfung von Rohren auf Oberflächenfehler
DE200610035599 DE102006035599A1 (de) 2005-07-29 2006-07-27 Verfahren zur zerstörungsfreien Prüfung von Rohren auf Oberflächenfehler
PCT/DE2006/001361 WO2007012331A2 (fr) 2005-07-29 2006-07-28 Procede de verification non destructive de tuyaux, pour detecter d'eventuels defauts superficiels

Publications (1)

Publication Number Publication Date
EP1910814A2 true EP1910814A2 (fr) 2008-04-16

Family

ID=37945836

Family Applications (1)

Application Number Title Priority Date Filing Date
EP06775800A Ceased EP1910814A2 (fr) 2005-07-29 2006-07-28 Procede de verification non destructive de tuyaux, pour detecter d'eventuels defauts superficiels

Country Status (6)

Country Link
US (1) US7783432B2 (fr)
EP (1) EP1910814A2 (fr)
AR (1) AR054887A1 (fr)
CA (1) CA2616897C (fr)
MX (1) MX2008001357A (fr)
WO (1) WO2007012331A2 (fr)

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DE102008024394A1 (de) * 2008-05-15 2009-12-03 V&M Deutschland Gmbh Verfahren zur zerstörungsfreien Prüfung von Rohren
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 (de) * 2010-11-30 2012-06-28 Siemens Aktiengesellschaft Pipelinesystem und Verfahren zum Betreiben eines Pipelinesystems
CN102841133B (zh) * 2012-09-26 2015-03-18 中国船舶重工集团公司第七一〇研究所 一种导磁材料无损实时检测方法和系统
WO2015051225A1 (fr) 2013-10-03 2015-04-09 Schlumberger Canada Limited Système et procédé d'évaluation de dommage de tuyau
WO2015187923A1 (fr) 2014-06-04 2015-12-10 Schlumberger Canada Limited Système et procédé d'évaluation de défaut de tuyau
US10877000B2 (en) * 2015-12-09 2020-12-29 Schlumberger Technology Corporation Fatigue life assessment
US11237132B2 (en) 2016-03-18 2022-02-01 Schlumberger Technology Corporation Tracking and estimating tubing fatigue in cycles to failure considering non-destructive evaluation of tubing defects
CN106346624A (zh) * 2016-09-26 2017-01-25 高团结 一种高压可交联聚乙烯电缆料的生产方法
CN106501372B (zh) * 2016-10-27 2019-02-12 广州地铁集团有限公司 基于小波包分析道岔裂纹的监测定位方法
CN108062071B (zh) * 2017-12-20 2020-02-21 天津大学 参数曲线轨迹伺服轮廓误差的实时测定方法
CN111579637B (zh) * 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) 一种检测及区分钢丝绳内外缺陷的无损检测方法和装置
CN117460952A (zh) * 2021-04-09 2024-01-26 维拉利控股私人有限公司 用于检测和/或监测缺陷的增长的方法和系统
CN115901118A (zh) * 2021-08-06 2023-04-04 中国石油化工股份有限公司 阀门内漏检测方法、系统、电子设备及存储介质
CN114609237A (zh) * 2022-03-29 2022-06-10 北京市燃气集团有限责任公司 一种管道伤损检测方法及装置
CN121278544B (zh) * 2025-12-09 2026-03-20 广东省特种设备检测研究院惠州检测院 一种漏磁数据缺陷识别检测方法及系统

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EP0834845A1 (fr) * 1996-10-04 1998-04-08 Cerberus Ag Procédé d'analyse en fréquence d'un signal
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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
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Also Published As

Publication number Publication date
CA2616897A1 (fr) 2007-02-01
CA2616897C (fr) 2015-06-16
AR054887A1 (es) 2007-07-25
US7783432B2 (en) 2010-08-24
MX2008001357A (es) 2008-04-16
WO2007012331A3 (fr) 2007-04-19
WO2007012331A2 (fr) 2007-02-01
US20080228412A1 (en) 2008-09-18

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