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A Description of Data-Analysis Techniques PUBLIC ACCESS

[+] Author Affiliations
Christina Files

True North Consulting, LLC, Montrose, CO

Paper No. NRC2014-5013, pp. 258-268; 11 pages
doi:10.1115/NRC2014-5013
From:
  • ASME/NRC 2014 12th Valves, Pumps, and Inservice Testing Symposium
  • ASME/NRC 2014 12th Valves, Pumps, and Inservice Testing Symposium
  • Rockville, Maryland, USA, June 23–25, 2014
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-9932-8
  • Compilation Copyright © 2019 ASME

abstract

Trending, standard deviation, forecasting, linear regression, anomaly detection, and normalization are all techniques that IST Program Engineers use as tools to help them analyze and evaluate test results. But does the program engineer remember what these terms mean? Are they being used correctly? Are the techniques being used when they need to be? Are their benefits being fully used? This paper briefly goes over what each of these terms mean and looks at examples of each. Knowing how to use these tools is integral to a quality IST Program. Some software, such as True North Consulting’s EP-Plus Engage IST Software, incorporates these “value added” techniques. A brief overview of how they are used as tools for the IST Engineer is provided. Also included is a discussion on how these tools can be improved on and leveraged to decipher the program engineer’s IST Program data.

Paper published with permission.

Compilation Copyright © 2019 ASME
This article is only available in the PDF format.

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