Deep Multimodal autoencoder for crack criticality assessment

2021 ◽  
Author(s):  
H. Launay ◽  
D. Ryckelynck ◽  
L. Lacourt ◽  
J. Besson ◽  
A. Mondon ◽  
...  
Keyword(s):  
Criticality Assessment

Methodology to Develop Fitness-for-Service Assessments for Crack Detection In-Line Inspection Data

2006 ◽  
Author(s):  
David Shanks ◽  
Rob Leeson ◽  
Corina Blaga ◽  
Rafael G. Mora
Keyword(s):  
Stress Corrosion ◽  
Stress Corrosion Cracking ◽  
Crack Detection ◽  
Corrosion Cracking ◽  
Life Extension ◽  
Remaining Life ◽  
Service Monitoring ◽  
Criticality Assessment ◽  
Inspection Data

Implementation of Integrity Management Programs (IMP) for pipelines has motivated the design of Fitness-For-Service methodologies to assess Stress Corrosion Cracking (SCC) and fatigue-dependent features reported by Ultrasonic Crack Detection (UTCD) In-Line Inspections. The philosophical approach defined by the API 579 [1] “Fitness-For-Service” from the petrochemical industry in conjunction with Risk-based standards and regulations (i.e. CSA-Z662-2003 [2] and US DOT 49 Parts 192 [3] and 195 [4]) and in-line inspection validation (i.e. API 1163 [5]) approaches from the pipeline industry have provided the engineering basis for ensuring the safety, reliability and continued service of the in-line inspected pipelines. This paper provides a methodology to develop short and long-term excavation and re-inspection programs through a four (4) phase-process: Pre-Assessment, Integrity Criticality Assessment, Remediation and Repair, Remaining Life Extension and In-Service Monitoring. In the first phase, Pre-assessment, areas susceptible to Stress Corrosion Cracking (SCC) and fatigue-dependent features are correlated to in-line inspection data, soil modeling, pipeline and operating conditions, and associated consequences in order to provide a risk-based prioritization of pipeline segments and technical understanding for performing the assessment. The second phase, Integrity Criticality Assessment, will develop a short-term maintenance program based on the remaining strength of the in-line inspection reported features previously correlated, overlaid and risk-ranked. In addition, sites may be identified in Phase 1 for further investigation. In the third phase, a Remediation and Repair program will undertake the field investigation in order to repair and mitigate the potential threats as well as validating the in-line inspection results and characterization made during the Pre-assessment and Integrity Criticality Assessment (Phases 1 & 2). With the acquired knowledge from the previous three (3) phases, a Remaining Life Extension and In-Service Monitoring program will be developed to outline the long-term excavation and re-inspection program through the use of SCC and Fatigue crack growth probabilistic modeling and cost benefit analysis. The support of multiple Canadian and US pipeline operating companies in the development, validation and implementation of this methodology made this contribution possible.

Architecture-Based Criticality Assessment of Software Systems

2011 ◽  
Author(s):  
Domenico Cotroneo ◽  
Antonio Pecchia ◽  
Roberto Pietrantuono ◽  
Stefano Russo
Keyword(s):  
Software Systems ◽  
Criticality Assessment

scholarly journals Rational Selection, Criticality Assessment, and Tiering of Quality Attributes and Test Methods for Analytical Similarity Evaluation of Biosimilars

2018 ◽  
Vol 20 (4) ◽  
Author(s):  
Kristof Vandekerckhove ◽  
Andreas Seidl ◽  
Hiten Gutka ◽  
Manish Kumar ◽  
Gyöngyi Gratzl ◽  
...  
Keyword(s):  
Quality Attributes ◽  
Test Methods ◽  
Rational Selection ◽  
Criticality Assessment

Fault-Criticality Assessment for AI Accelerators using Graph Convolutional Networks

2021 ◽  
Author(s):  
Arjun Chaudhuri ◽  
Jonti Talukdar ◽  
Jinwook Jung ◽  
Gi-Joon Nam ◽  
Krishnendu Chakrabarty
Keyword(s):  
Convolutional Networks ◽  
Criticality Assessment
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