{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T19:42:22Z","timestamp":1772998942164,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy Office of Nuclear Energy\u2019s Nuclear Energy Enabling Technologies Advanced Sensors and Instrumentation Program","doi-asserted-by":"publisher","award":["DE-AC07-05ID14517"],"award-info":[{"award-number":["DE-AC07-05ID14517"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3212061","type":"journal-article","created":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:15:12Z","timestamp":1665778512000},"page":"113726-113740","source":"Crossref","is-referenced-by-count":5,"title":["Total Unwrapped Phase-Based Diagnosis of Wall Thinning in Nuclear Power Plants Secondary Piping Structures"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6277-770X","authenticated-orcid":false,"given":"Koushik A.","family":"Manjunatha","sequence":"first","affiliation":[{"name":"Department of Instrumentation, Controls, and Data Science, Idaho National Laboratory, Idaho Falls, ID, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1334-0509","authenticated-orcid":false,"given":"Vivek","family":"Agarwal","sequence":"additional","affiliation":[{"name":"Department of Instrumentation, Controls, and Data Science, Idaho National Laboratory, Idaho Falls, ID, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3896-5540","authenticated-orcid":false,"given":"Andrea L.","family":"Mack","sequence":"additional","affiliation":[{"name":"Department of Instrumentation, Controls, and Data Science, Idaho National Laboratory, Idaho Falls, ID, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Koester","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Douglas E.","family":"Adams","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, TN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2012.6388532"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1142\/IMS"},{"key":"ref31","year":"2018","journal-title":"Erosion Degradation in Nuclear Power Plants Assessment of Operating Experience"},{"key":"ref30","year":"2017","journal-title":"Guidelines for Controlling Flow-Accelerated Corrosion in Fossil and Combined Cycle Plants"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2917735"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2669947"},{"key":"ref35","first-page":"1","article-title":"Application of intrinsic mode function based features and artificial neural network for the classification of normal and epileptic EEG signals","volume":"10","author":"torse","year":"2017","journal-title":"Int J Eng"},{"key":"ref34","first-page":"1","article-title":"Extraction of significant features using empirical mode decomposition and its application","volume":"1","author":"cho","year":"2013","journal-title":"Proc World Congr Eng Comput Sci"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6224619"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref11","year":"2013","journal-title":"Training Module Flow Accelerated Corrosion (FAC) for Supervisors and Managers"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/1475921717691036"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109797"},{"key":"ref14","first-page":"1","article-title":"Monitoring localized and general corrosion using membrane-based electrochemical sensors","author":"duffy","year":"2020","journal-title":"Proc Corrosion"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-5281-6_16"},{"key":"ref16","author":"holloway","year":"2020","journal-title":"Ultrasonic phased array approach to detection and measurement of corrosion at pipe supports"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2020.2981450"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SICE.2006.315448"},{"key":"ref19","first-page":"229","article-title":"Structural health monitoring of industrial piping systems using guided elastic waves","author":"schubert","year":"2008","journal-title":"Proc 4th Int Conf ‘NDE Saf ’"},{"key":"ref28","year":"2013","journal-title":"Recommendation for an Effective Flow-Accelerated Corrosion Program (NSAC-202L-R4)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/24\/8\/085003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5006\/1.3278426"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1369-7021(08)70205-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2047662"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/423295"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/9780470511589"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1063\/1.2902610"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2012.6411531"},{"key":"ref2","author":"kutz","year":"2018","journal-title":"Handbook of Environmental Degradation of Materials"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1784\/insi.2008.50.9.480"},{"key":"ref1","article-title":"Piping failures in United States nuclear power plants 1961–1995","author":"bush","year":"1998"},{"key":"ref46","first-page":"1264","article-title":"Analysis of different activation functions using back propagation neural networks","volume":"47","author":"sibi","year":"2013","journal-title":"J Theor Appl Inf Technol"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2013.6688473"},{"key":"ref45","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1115\/SMASIS2015-8922"},{"key":"ref47","year":"2019","journal-title":"Calculate a Vector Sum to Make Understanding Vibration Data Easy"},{"key":"ref21","first-page":"1","article-title":"Evaluation of the real-time active pipeline integrity detection system for corrosion quantification","author":"bergman","year":"2016","journal-title":"Proc Int Corrosion Conf"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11668-017-0369-1"},{"key":"ref41","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref23","first-page":"148","article-title":"Flow induced material degradation in power plant secondary systems—A review","volume":"30","author":"kim","year":"1998","journal-title":"Nucl Eng Technol"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-741252-8.50010-8"},{"key":"ref26","article-title":"Flow accelerated corrosion in nuclear power plants","author":"ahmed","year":"2012","journal-title":"Nuclear Power"},{"key":"ref43","first-page":"18","article-title":"Classification and regression by randomForest","volume":"2","author":"wiener","year":"2007","journal-title":"R News"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2014.11.083"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/9668973\/9919716-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09919716.pdf?arnumber=9919716","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T20:12:13Z","timestamp":1669666333000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9919716\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3212061","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}