particularly important in extrapolating the applicability of prior NDE data to a new NDE engineering problem.
Conversely, the lessons learned in applications of prior art can be very useful in design and calibration and process
control procedures, in establishing the characteristics and performance of materials and equipment used, in anticipating
the problems and controls necessary to effect application in a production environment, and in assessing human factors
relevant to the application.
Incorporation and integration of the qualitative factors and considerations in the application of prior art are essential for
making the transition from laboratory test data to production line use. However, careful analysis and criteria must be
applied to quantitative data from application of prior art. Quantitative assessment of ongoing NDE process applications
has shown that performance levels may vary considerably in NDE applications to established specification/process
requirements. Performance variations are rarely integrated into overall system reliability estimates and management is
rarely accurate in recognizing and identifying superior performance by human operators. Quantitative data must be
supported by actual NDE system measurements and accurate descriptions of NDE materials, equipment, procedures, and
human operator qualifications to be seriously considered in NDE system design or qualification by similarity. It must be
emphasized that quantitative data are not necessary for the multitude of NDE applications used to add confidence to
routine process control and other applications in which the NDE procedure does not constitute final acceptance of
performance characteristics. Quantitative data are required when the NDE measurement/acceptance is integral to design
acceptance and/or performance acceptance.
NDE Response. The response from an NDE system or process may take the form of a signal output (or outputs) or a
direct or indirect image. Acceptable conditions can be differentiated from unacceptable conditions by threshold
discrimination from the electronic output or by pattern recognition and threshold discrimination by image analyses.
Discrimination can be automated or performed by a human operator. Discrimination of threshold electronic signals can be
automated or gated to alert the human operator. The consistency and reliability of electronic signal discrimination can
often be improved by automating the discrimination process. Superior consistency and reliability of pattern recognition
and discrimination level for images are usually achieved by the human operator. The feasibility of application of NDE to
a system is dependent on the establishment and characterization of a relationship between the response from an NDE
output and a desired engineering system performance parameter.
A direct or indirect relationship between an NDE response and a system performance characteristic may be functional
under laboratory conditions, but may be impractical in applications under production or service conditions. Factors such
as calibration, acceptance criteria, component accessibility, surface condition, inspection material compatibility, and
inspection environment must be assessed to determine that a positive relationship between NDE response and system
performance can be maintained.
NDE System Management and Schedule. The implementation of a reliable NDE procedure is dependent on
allowing time to collect data, perform the critical analyses, apply required resources, and develop operator (personnel)
skills. Many critical NDE procedures have been implemented as a result of unanticipated engineering system failures. The
economic and social pressures resulting from an engineering system failure must be judiciously balanced against the
required time and resources necessary to perform disciplined and thorough NDE engineering analyses, procedure
development, and procedure validations. After the required procedures have been implemented, NDE system/process
control must be maintained to ensure a consistent level of discrimination. Shortcuts in NDE engineering, NDE procedure
development, and NDE system/process control increase risks in system performance, may not reduce the risk of
engineering system failure, and may contribute to a false confidence level in system performance.
Applications of NDE Reliability to Systems
Ward D. Rummel, Martin Marietta Astronautics Group; Grover L. Hardy and Thomas D. Cooper, Wright Research & Development
Center, Wright-Patterson Air Force Base
NDE Engineering
The difference between NDE engineering and the classical engineering disciplines result from the variety of problems and
the indirect nature of NDE measurements on engineering system performance. The functional performance of most NDE
methods can be measured, controlling parameters can be documented, and performance output can be modeled; however,
the interaction of the NDE method with the test object necessitates the generation of new response parameters and