Feature-enhanced-imaging field trials: Peach Bottom Unit 3: Interim report, Phase 2

Technical Report · Thu Jun 01 04:00:00 EDT 1989

OSTI ID:6069577

Selby, G; Williams, R; Shankar, R

Feature-based systems that combine imaging and signal analysis capabilities may be useful for nondestructive evaluation (NDE) of plant components. This report describes the field evaluation of an integrated system at a plant site during a scheduled outage for pipe weld examination to discriminate intergranular stress corrosion cracking (IGSCC) from benign, geometrical reflectors. The integrated system consisted of a personal computer (PC)-based system capable of detailed analysis of ultrasonic signal data and an in-service inspection (ISI) imaging system used in many commercial pipe examinations for IGSCC. The integrated system was trained to discriminate automatically IGSCC from other reflectors using EPRI NDE Center's inventory of field-removed samples. The methods and results of this training are described. Several classifiers were synthesized using mathematical features derived from signals that were collected to simulate field conditions. Data collection procedures were developed that required minimal operator training. Field data were collected and analyzed before and after pipe decontamination prior to pipe replacement. Automatic decision maps were generated for easier data interpretation and comparison. The field trial was conducted in October 1987--January 1988. Future activities will include collecting additional data after pipe removal to compare changes in baseline. These results will be presented in subsequent reports. 174 figs., 9 tabs.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (USA); Jones (J.A.) Applied Research Co., Charlotte, NC (USA)
• OSTI ID: 6069577
• Report Number(s): EPRI-NP-6394
• Country of Publication: United States
• Language: English

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