Quantitative acoustic emission non-destructive inspection for revealing, typifying and assessing fracture hazards

• US 8,316,712 B2
• Filed: 11/19/2010
• Issued: 11/27/2012
• Est. Priority Date: 11/19/2010
• Status: Expired due to Fees

• Current Assignee: Margan Physical Diagnostics, Ltd.
• Original Assignee: Margan Physical Diagnostics, Ltd.
• Inventors: Muravin, Gregory, Muravin, Boris, Lezvinsky, Ludmila, Mizrahi, Itzik
• Primary Examiner(s): SAINT SURIN, JACQUES M
• Application Number:
  US12/950,830
• Publication Number:
  US 20120125108A1
• Time in Patent Office: 739 Days
• Field of Search: 735/87, 735/84, 735/92, 735/99, 736/02, 738/01
• US Class Current: 73/587
• CPC Class Codes: G01N 2203/0062 Crack or flaws
• CPC Class Codes: G01N 2203/024 Corrosive
• CPC Class Codes: G01N 29/043 in the interior, e.g. by shear waves
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/4436 with a reference signal amplitude comparison G01N29/48
• CPC Class Codes: G01N 29/4454 Signal recognition, e.g. specific values or portions, signal events, signatures

Abstract

Inspecting for fracture hazards by detecting a presence of at least one flaw development process in an equipment under inspection, the flaw development process being corrosion product nucleation and development, pitting, plastic deformation development, and/or micro-cracking. Detecting the presence of the flaw development process includes (a) determining at least one characteristic acoustic emission (AE) signature associated with a respective flaw development process, and (b) measuring an AE from each of a plurality of locations within the equipment. Presence of the respective flaw development process is identified only when the measured AE conforms to the characteristic AE signature within a predetermined tolerance. A fracture hazard is determined to exist only when (a) a quantity of the identified flaw development processes exceeds a first predetermined threshold and/or (b) a magnitude of at least one of the identified flaw development processes exceeds a second predetermined threshold.

Claims

1. A method for revealing, recognizing and assessing fracture hazards of electro-chemical corrosion, pitting, and corrosion-fatigue, said method comprising:

(i) detecting a presence of a flaw development process in an inspected equipment, said flaw development process comprising at least one of corrosion product nucleation and development, pitting, plastic deformation development, and micro-cracking, wherein said detecting comprises;

(a) recording acoustic emission (AE) data of continuous AE and burst AE measured in a number of zones, said zones being known, as a result of at least one of visual inspection, local non-destructive inspection and metallurgical investigation, to be experiencing the flaw development process, said number of zones being at least six, said acquired AE data comprising AE signal characteristics of amplitude, energy, and frequency measured at each zone;

(b) determining AE signal transmission attenuation by recording AE data comprising AE signal characteristics of amplitude, energy, and frequency at different distances from each said zone, said AE signal transmission attenuation characterizing kinetics of flaw development as a function of distance from the zone;

(c) separating a plurality of AE signals associated with each flaw development process from background noise, using Gaussian shaped distribution;

(d) determining, for at least one selected flaw development process, a characteristic AE signature by constructing a probability density graph and a plurality of ellipses of dispersion, wherein;

each said ellipse of dispersion bounds a sheaf of AE signal properties associated with the characteristic AE signature; and

the sheaf of AE signal properties is selected from the group comprising energy vs. average frequency, amplitude vs. average frequency, and energy vs. hit rate;

(e) creating a database of characteristic AE signatures by combining the information from each process described in (c), for a plurality of specific operational conditions;

(f) measuring AE signals from each of a plurality of locations within the equipment; and

(ii) comparing, for each location, said measured AE signals, corrected for said attenuation, with the characteristic AE signatures in the database;

(iii) identifying a presence of the flaw development process only when the measured AE conforms to a characteristic AE signature in the database within a predetermined tolerance; and

(iv) determining an intensity of the flaw development process by comparing a measured AE energy vs. hit rate with ellipses of dispersion of energy vs. hit rate from the database.

2. The method of claim 1, wherein the inspected equipment comprises at least one of

(i) a main steam (MS) piping, hot reheat (HRH) piping or cold reheat (CRH) piping of a fossil power plant,

(ii) Technological piping of a chemical plant, and (iii) other operating and large-scale high energy piping complex or components.

3. The method of claim 1, wherein said detecting step is a passive operation performed while avoiding use of an external excitation load source.

4. The method of claim 1, wherein the characteristic AE signature is an experimentally determined ellipse of dispersion.

5. A method for inspecting for fracture hazards in an equipment under inspection, said method comprising:

(i) detecting a presence of at least one flaw development process in the equipment wherein the flaw development process comprises at least one of corrosion product nucleation and development, pitting, plastic deformation development, and micro-cracking, wherein said detecting comprises;

(a) determining at least one characteristic acoustic emission (AE) signature, said characteristic AE signature being associated with a respective flaw development process;

(b) measuring AE signals from each of a plurality of locations within the equipment, said AE signals comprising continuous AE signals associated with at least one flaw development process, burst AE signals associated with at least one flaw development process, and background noise; and

, for each location;

(1) separating at least one of the burst AE and the continuous AE from background noise;

(2) comparing said at least one of the burst AE and the continuous AE with the characteristic AE signature; and

(3) identifying the presence of one or more respective flaw development processes associated with one or more of the plurality of locations only when the at least one of the burst AE and the continuous AE conforms to the characteristic AE signature within a predetermined tolerance; and

(ii) determining that a fracture hazard exists, only when at least one of (a) a quantity of the identified flaw development processes exceeds a first predetermined threshold and (b) a magnitude of at least one of the identified flaw development processes exceeds a second predetermined threshold.

6. The method of claim 5, wherein the inspected equipment comprises at least one of (i) a main steam (MS) piping, hot reheat (HRH) piping or cold reheat (CRH) piping of a fossil power plant, (ii) technological piping of a chemical plant, and (iii) other operating and large-scale high energy piping complex or components.

7. The method of claim 5, wherein said detecting step is a passive operation performed while avoiding use of an external excitation load source.

8. The method of claim 5, wherein the at least one characteristic AE signature is an experimentally determined ellipse of dispersion.

9. The method of claim 8, wherein the experimentally determined ellipse of dispersion for each flaw development process is determined by analysis of data acquired of at least one of continuous and burst AE in a number of zones known to be experiencing the failure process.

10. The method of claim 9, wherein the experimentally determined ellipse of dispersion bounds a sheaf of AE signal properties associated with the characteristic AE signature.

11. The method of claim 10, wherein the sheaf of AE bounded signal properties comprises at least one of (i) energy vs. average frequency and (ii) amplitude vs. average frequency.

12. The method of claim 11, wherein the experimentally determined ellipse of dispersion is determined by measurements in a number of zones known to be undergoing flaw development processes, said number of zones being at least six.

13. The method of claim 5, wherein the at least one characteristic AE signature comprises an ellipse of dispersion relating AE signal energy vs. hit rate, and further comprising determining an intensity of the flaw development process by comparing a measured AE signal energy vs hit rate with said ellipse describing AE signal energy vs. hit rate.

14. A method for inspecting for fracture hazards in an equipment under inspection, said method comprising:

(i) detecting a presence of at least one flaw development process in the equipment wherein the flaw development process comprises at least one of corrosion product nucleation and development, pitting, plastic deformation development, and micro-cracking, wherein said detecting comprises;

(a) determining at least one characteristic acoustic emission (AE) signatures associated with flaw development, said characteristic AE signatures being associated with a respective flaw development process;

(b) comparing at least one measured AE signals associated with flaw development with the characteristic AE signatures, said measured AE signal having been obtained from a respective location within the equipment, and comprising continuous AE, burst AE, and background noise; and

, for each respective location;

(1) separating at least one of the burst AE and the continuous AE signals associated with flaw development from background noise;

(2) comparing said at least one of the burst AE and the continuous AE signals associated with flaw development with the characteristic AE signature; and

(3) identifying the presence of the respective flaw development process, only when the measured AE signals conforms to the characteristic AE signatures within a predetermined tolerance; and

(ii) determining that a fracture hazard exists, only when at least one of (a) a quantity of the identified flaw development processes exceeds a first predetermined threshold and (b) a magnitude of at least one of the identified flaw development processes exceeds a second predetermined threshold.

15. The method of claim 14, the inspected equipment comprises at least one of (i) a main steam (MS) piping, hot reheat (HRH) piping or cold reheat (CRH) piping of a fossil power plant, (ii) technological piping of a chemical plant, and (iii) other operating and large-scale high energy piping complex or components.

16. The method of claim 14, wherein said measured AE is obtained by a passive operation, said passive operation being performed while avoiding use of an external excitation load source.

17. The method of claim 14, wherein the at least one characteristic AE signature is an experimentally determined ellipse of dispersion.

18. The method of claim 17, wherein the experimentally determined ellipse of dispersion for each flaw development process is determined by analysis of data acquired of at least one of continuous and burst AE in a number of zones known to be experiencing the failure process.

19. The method of claim 18, wherein the experimentally determined ellipse of dispersion bounds a sheaf of AE signal properties associated with the characteristic AE signature.

20. The method of claim 19, wherein the sheaf of AE bounded signal properties comprises at least one of (i) energy vs. average frequency and (ii) amplitude vs. average frequency.

21. The method of claim 20, wherein the experimentally determined ellipse of dispersion is determined by measurements in a number of zones known to be undergoing flaw development processes, said number of zones being at least six.

22. The method of claim 14, further comprising determining an intensity of the flaw development process by comparing at least one ellipse of dispersion characterizing AE energy vs hit rate constructed from signals measured in different zones of piping with ellipses of dispersion of energy vs. hit rate from the database.