- Email: [email protected]
Assessment and management of defects on offshore structures AMaDeOS an expert system for IRM
N DT Abstracts Cordell, J.; Vanzant, H. All about pigging: the design of pipelines and facilities for conventional and intelligent pigging and a guide to pig selection, operation and maintenance and to pipeline pigging services
of eddy-current sensors for the visualization of materials defects; TRAPPIST: benefits and applications of a standardized data format in NDT; thermographic imaging and image processing in laser beam welding; shearography, an imaging NDT method for lightweight building components.
62118
Hershel Vanzant and Associates, 256 pp. (1996) ISBN 0952644800
Brzakovic, D.; Vujovic, N. Designing a defect classification system: a case study 62000
P ikas, J.L. In-line inspection of large diameter pipelines using enhanced collapsible pigs 62110
Pattern Recognition, Vol. 39, No. 8, pp. 1401-1419 (1996) This paper describes designing and testing a vision system for web material inspection. The system incorporates five subsystems: sensing, detection, characterization, feature analysis and classification. Each subsystem contains adaptive image processing and pattern recognition algorithms that perform specific functions. A very difficult real- world case study of defect classification is detailed and examples of algorithms used by the five subsystems are outlined. The results are summarized and interpreted.
Corrosion '96, Proceedings of the National Association of Corrosion Engineers (NACE) Conference, Houston, TX (United States), 24-29 Mar. 1996. p. 6, Paper 39. NACE International ( 1996 ) Case histories and field findings using the newly developed 30 inch x 24 inch and 36 inch x 30 inch collapsible smart pigs will be discussed. In addition, the results of the first generation smart pigs with enhancements consisting of hardware developments, new field logs, and software will be presented.
61946 Bartos, A.L.; Gill, T.J.; Lyon, T. Waveform mapping of piezoelectric transducer impulse responses for multi-transducer pattern recognition-based ultrasonic NDE systems
62109 Culbertson, D.L. Use of intelligent pigs to detect stress corrosion cracking in gas
Materials Science Forum, Vols. 210-213, Part 2, pp. 863-870 (1996). (Proceedings of the 7th International Symposium on Nondestructive Characterization of Materials, Prague (Czech Republic), 19-22 Jun. 1995. Edited by A.L. Bartos, R.E. Green and C.O. Ruud. Transtec Publications (I 996)) This paper addresses a practical problem encountered with Ultrasonic Nondestructive Evaluation (UNDE) systems employing statistical or neural pattern recognition algorithms for rapid component classification. A method is presented which derives a compensatory linear filter, specific to each transducer/analog passband in the system. This waveform mapping derivation is only performed during system calibration, and requires measuring each two-way (pulse-echo) PZT response. The decision function then becomes independent of the individual PZT impulse responses, because the filters transform each into a "standard". Classification performance then becomes unaffected by PZT replacement or gradual aging.
pipelines Corrosion '96, Proceedings of the National Association of Corrosion Engineers (NACE) Conference, Houston, TX (United States), 24-29 Mar. 1996. p. 7, Paper 35. NACE International (1996) To ensure the integrity and serviceability of gas pipelines, operators periodically utilize intelligent pigging. This inspection technique has proven to be a cost effective approach for determining the condition of operating pipelines. Recent advancements in intelligent pigging technology are now aiding the pipeline industry in the detection of stress corrosion cracking.
Gopel, W. Sensors and "smart" molecular nanostructures: components for future information technologies 62079
Sensors, Micro- and Nanosensor Technology/Trends in Sensor Markets. Vol. 8. Edited by H. Meixner and R. Jones. pp. 295-336. VCH (1995). ISBN 3527267743 A major driving force in the R&D of new materials for future information technologies aims at the miniaturization of devices down to the ultimate limits as they are determined by basic physics and quantum mechanical principles. Another driving force results from trying to match in future devices the different performances that are currently achieved separately in biological and in technical systems. The field of bioelectronics is of increasing interest. (44 refs).
Workman, G.L.; Walker, J.L. Materials characterization of powder metallurgy products using acousto- ultrasonics 61932
Materials Science Forum, Vols. 210-213, Part 2, pp. 679-~,86 (1996). (Proceedings of the 7th International Symposium
Billington, Cal.; Bolt, H.M. Assessment and management of defects on offshore structures AMaDeOS an expert system for IRM
62070
Inspection, Assessment and Recertification of Offshore Platforms. Edited by G.J. Lyons and D.T. Brown. pp. 8.1-8.13. Bentham Press (1995) ISBN 1874612234 Integration of the activities involved in structural integrity management and damage assessment is possible within the framework of an expert system. The computerisation of the processes involved will not only improve the information exchange system but will also increase the operational efficiency of the whole process. The decision making capabilities of an expert system will act as a valuable aid in management of data as well as maintaining control over a series of multidisciplinary activities. The system also involves the implementation of a learning capability. An expert system is designed to mimic as closely as possible the conventional process. Engineers and inspection personnel interact within a common system thereby ensuring an integrated and consistent, as well as efficient, use of information.
Fiedler, U.; Kroning, M.; Theiner, W.A. Nondestructive evaluation of material parameters using neural networks
61861
62063
Imaging and evaluation of results of non-destructive testing methods. Papers of the multidisciplinary seminar (In German) Imaging and Evaluation of Results of Nondestructive Testing Methods, Stutensee (Germany), 27-28 Nov. 1995. 134 pp. (1995) ISBN 3931381048 The seminar report contains 18 papers discussing the problems involved in enhanced use of imaging techniques in non-destructive materials testing. The aspects addressed in the papers are as follows: Fuzzy logic for interpretation of visualized measured data; modern multi- color printing techniques for visualized data from industrial materials testing; optimization
324
Materials Science Forum, Vols. 210-213, Part 1, pp. 343-348 (1996). (Proceedings of the 7th International Symposium on Nondestructive Characterization of Materials, Prague (Czech Republic), 19-22 Jun. 1995. Edited by A.L. Bartos, R.E. Green and C.O. Ruud. Transtec Publications (1996)) The general aim is the characterization of microstructural states and the determination of mechanical and technological parameters for 7 different steel grades used in nuclear power plants. Micromagnetic measuring parameters obtained from Barkhausen noise, incremental permeability and longitudinal magnetostriction were investigated. To determine tensile strength, yield strength, hardness and other parameters, it is necessary to combine several independent nondestructive measuring quantities in a multiparameter evaluation approach. This approach approximates an inverse function modelling the relation between parameters. It was realized using neural networks of the backpropagation type. The analysis was successful in separating different microstructure states and proved at the same time its
of eddy-current sensors for the visualization of materials defects; TRAPPIST: benefits and applications of a standardized data format in NDT; thermographic imaging and image processing in laser beam welding; shearography, an imaging NDT method for lightweight building components.
62118
Hershel Vanzant and Associates, 256 pp. (1996) ISBN 0952644800
Brzakovic, D.; Vujovic, N. Designing a defect classification system: a case study 62000
P ikas, J.L. In-line inspection of large diameter pipelines using enhanced collapsible pigs 62110
Pattern Recognition, Vol. 39, No. 8, pp. 1401-1419 (1996) This paper describes designing and testing a vision system for web material inspection. The system incorporates five subsystems: sensing, detection, characterization, feature analysis and classification. Each subsystem contains adaptive image processing and pattern recognition algorithms that perform specific functions. A very difficult real- world case study of defect classification is detailed and examples of algorithms used by the five subsystems are outlined. The results are summarized and interpreted.
Corrosion '96, Proceedings of the National Association of Corrosion Engineers (NACE) Conference, Houston, TX (United States), 24-29 Mar. 1996. p. 6, Paper 39. NACE International ( 1996 ) Case histories and field findings using the newly developed 30 inch x 24 inch and 36 inch x 30 inch collapsible smart pigs will be discussed. In addition, the results of the first generation smart pigs with enhancements consisting of hardware developments, new field logs, and software will be presented.
61946 Bartos, A.L.; Gill, T.J.; Lyon, T. Waveform mapping of piezoelectric transducer impulse responses for multi-transducer pattern recognition-based ultrasonic NDE systems
62109 Culbertson, D.L. Use of intelligent pigs to detect stress corrosion cracking in gas
Materials Science Forum, Vols. 210-213, Part 2, pp. 863-870 (1996). (Proceedings of the 7th International Symposium on Nondestructive Characterization of Materials, Prague (Czech Republic), 19-22 Jun. 1995. Edited by A.L. Bartos, R.E. Green and C.O. Ruud. Transtec Publications (I 996)) This paper addresses a practical problem encountered with Ultrasonic Nondestructive Evaluation (UNDE) systems employing statistical or neural pattern recognition algorithms for rapid component classification. A method is presented which derives a compensatory linear filter, specific to each transducer/analog passband in the system. This waveform mapping derivation is only performed during system calibration, and requires measuring each two-way (pulse-echo) PZT response. The decision function then becomes independent of the individual PZT impulse responses, because the filters transform each into a "standard". Classification performance then becomes unaffected by PZT replacement or gradual aging.
pipelines Corrosion '96, Proceedings of the National Association of Corrosion Engineers (NACE) Conference, Houston, TX (United States), 24-29 Mar. 1996. p. 7, Paper 35. NACE International (1996) To ensure the integrity and serviceability of gas pipelines, operators periodically utilize intelligent pigging. This inspection technique has proven to be a cost effective approach for determining the condition of operating pipelines. Recent advancements in intelligent pigging technology are now aiding the pipeline industry in the detection of stress corrosion cracking.
Gopel, W. Sensors and "smart" molecular nanostructures: components for future information technologies 62079
Sensors, Micro- and Nanosensor Technology/Trends in Sensor Markets. Vol. 8. Edited by H. Meixner and R. Jones. pp. 295-336. VCH (1995). ISBN 3527267743 A major driving force in the R&D of new materials for future information technologies aims at the miniaturization of devices down to the ultimate limits as they are determined by basic physics and quantum mechanical principles. Another driving force results from trying to match in future devices the different performances that are currently achieved separately in biological and in technical systems. The field of bioelectronics is of increasing interest. (44 refs).
Workman, G.L.; Walker, J.L. Materials characterization of powder metallurgy products using acousto- ultrasonics 61932
Materials Science Forum, Vols. 210-213, Part 2, pp. 679-~,86 (1996). (Proceedings of the 7th International Symposium
Billington, Cal.; Bolt, H.M. Assessment and management of defects on offshore structures AMaDeOS an expert system for IRM
62070
Inspection, Assessment and Recertification of Offshore Platforms. Edited by G.J. Lyons and D.T. Brown. pp. 8.1-8.13. Bentham Press (1995) ISBN 1874612234 Integration of the activities involved in structural integrity management and damage assessment is possible within the framework of an expert system. The computerisation of the processes involved will not only improve the information exchange system but will also increase the operational efficiency of the whole process. The decision making capabilities of an expert system will act as a valuable aid in management of data as well as maintaining control over a series of multidisciplinary activities. The system also involves the implementation of a learning capability. An expert system is designed to mimic as closely as possible the conventional process. Engineers and inspection personnel interact within a common system thereby ensuring an integrated and consistent, as well as efficient, use of information.
Fiedler, U.; Kroning, M.; Theiner, W.A. Nondestructive evaluation of material parameters using neural networks
61861
62063
Imaging and evaluation of results of non-destructive testing methods. Papers of the multidisciplinary seminar (In German) Imaging and Evaluation of Results of Nondestructive Testing Methods, Stutensee (Germany), 27-28 Nov. 1995. 134 pp. (1995) ISBN 3931381048 The seminar report contains 18 papers discussing the problems involved in enhanced use of imaging techniques in non-destructive materials testing. The aspects addressed in the papers are as follows: Fuzzy logic for interpretation of visualized measured data; modern multi- color printing techniques for visualized data from industrial materials testing; optimization
324
Materials Science Forum, Vols. 210-213, Part 1, pp. 343-348 (1996). (Proceedings of the 7th International Symposium on Nondestructive Characterization of Materials, Prague (Czech Republic), 19-22 Jun. 1995. Edited by A.L. Bartos, R.E. Green and C.O. Ruud. Transtec Publications (1996)) The general aim is the characterization of microstructural states and the determination of mechanical and technological parameters for 7 different steel grades used in nuclear power plants. Micromagnetic measuring parameters obtained from Barkhausen noise, incremental permeability and longitudinal magnetostriction were investigated. To determine tensile strength, yield strength, hardness and other parameters, it is necessary to combine several independent nondestructive measuring quantities in a multiparameter evaluation approach. This approach approximates an inverse function modelling the relation between parameters. It was realized using neural networks of the backpropagation type. The analysis was successful in separating different microstructure states and proved at the same time its