Feature-enhanced-imaging field trials: Peach Bottom Unit 3

Technical Report · Wed Jun 01 04:00:00 EDT 1988

OSTI ID:5012848

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 require minimal operator training. Field data were collected and anlayzed before pipe decontamination prior to pipe replacement. Automatic decision maps were generated for easier data interpretation. The field trial was conducted in October-November 1987. Future activities (January-March 1988) will include collecting additional data after pipe decontamination and after pipe removal to compare changes in baseline. These results will be presented in subsequent reports.

• Research Organization: Electric Power Research Inst., Palo Alto, CA (USA); Jones (J.A.) Applied Research Co., Charlotte, NC (USA)
• OSTI ID: 5012848
• Report Number(s): EPRI-NP-5865; ON: TI88011772
• Country of Publication: United States
• Language: English

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