OECD Pipe Failure Data Exchange Project (OPDE): 2003 Status Report

2004 ◽  
Author(s):  
Bengt Lydell ◽  
Eric Mathet ◽  
Karen Gott
Keyword(s):  
Data Exchange ◽  
Influence Factors ◽  
Status Report ◽  
First Year ◽  
Pipe Failure ◽  
Project Organization ◽  
Energy Agency ◽  
Reliability Parameters ◽  
Failure Data ◽  
Plant Operations

Established in 2002 as a three-year multilateral cooperation in the collection and analysis of data relating to pipe failure events, the OPDE project currently is supported by eighteen organizations from twelve member countries of the Nuclear Energy Agency of the Organisation for Economic Co-operation and Development (OECD-NEA). Objectives of the OPDE are to collect and analyze pipe failure data to promote a better understanding of underlying causes of failure, observed and potential impact on plant operations and safety, and prevention. The data analysis includes characterization of pipe failure events by reliability attributes and influence factors to facilitate the estimation of piping reliability parameters. With emphasis on data validity and quality, during the first year of operation a coding format has been developed to ensure consistent interpretation and applications. This paper represents an abbreviated 2003 status report and an overview of the project organization and objectives.

Piping Service Life Experience in Commercial Nuclear Power Plants: Progress With the OECD Pipe Failure Data Exchange Project

2004 ◽  
Author(s):  
Bengt Lydell ◽  
Eric Mathet ◽  
Karen Gott
Keyword(s):  
Data Exchange ◽  
Power Plants ◽  
Nuclear Energy ◽  
Structural Integrity ◽  
Life Experience ◽  
Crack Depth ◽  
Pipe Failure ◽  
Energy Agency ◽  
Failure Data ◽  
Wall Thinning

An extension of a 1994–98 R&D project established in 2002 by certain member countries of the Organisation for Economic Cooperation (OECD), the OECD Pipe Failure Data Exchange (OPDE) Project has produced a major database on the piping service experience applicable to commercial nuclear plants. The 3-year project is operated under the umbrella of the OECD Nuclear Energy Agency (NEA) and organizations producing or regulating more than 80% of nuclear energy generation worldwide are contributing data to the OPDE Project. The Project considers pipe failure data including service-induced wall thinning, part through-wall crack, pinhole leak, leak, and rupture/severance (i.e., events involving large leak rates up to and beyond the make-up capacity of engineered safeguards systems). The part through-wall events include degradation in excess of code allowable for pipe wall thinning or crack depth. OPDE also addresses such degradation that could have generic implications regarding the reliability of in-service inspection. At the end of 2003 the OPDE database included approximately 4,400 records on pipe failure affecting ASME Code Class 1 through 3 and non-Code piping. The database also included an additional 450 records on water hammer events where the structural integrity of piping was challenged but did not fail. This paper summarizes the unique data quality considerations that are associated with piping components. The paper also summarizes the database content.

Progress With the International Pipe Failure Data Exchange Project

2007 ◽  
Author(s):  
Bengt Lydell ◽  
Alejandro Huerta ◽  
Karen Gott
Keyword(s):  
Nuclear Power ◽  
Data Exchange ◽  
Power Plants ◽  
Crack Depth ◽  
Pipe Failure ◽  
Energy Agency ◽  
Service Experience ◽  
Failure Data ◽  
Wall Thinning ◽  
Engineered Safeguards

Certain member countries of the Organisation for Economic Cooperation and Development (OECD) in 2002 established the OECD Pipe Failure Data Exchange Project (OPDE) to produce an international database on the piping service experience applicable to commercial nuclear power plants. OPDE is operated under the umbrella of the OECD Nuclear Energy Agency (NEA). The Project collects pipe failure data including service-induced wall thinning, part through-wall crack, pinhole leak, leak, and rupture/severance (i.e., events involving large leak rates up to and beyond the make-up capacity of engineered safeguards systems). The part through-wall events include degradation in excess of code allowable for pipe wall thinning or crack depth. OPDE also addresses such degradation that could have generic implications regarding the reliability of in-service inspection. At the end of 2006 the OPDE database included approximately 3,700 records on pipe failure affecting ASME Code Class 1 through 3 and non-Code piping. This paper summarizes the unique data quality considerations that are associated with the reporting and recording of piping component degradation and failure. The paper also summarizes the database content and puts it in perspective relative to past efforts to systematically collect and evaluate service experience data on piping performance.

The OECD Pipe Failure Data Exchange Project: Data Validation on Canadian Plants

2004 ◽  
Author(s):  
Alexandre Colligan ◽  
Robert Lojk ◽  
Jovica Riznic
Keyword(s):  
Data Collection ◽  
Nuclear Power ◽  
Data Exchange ◽  
Power Plants ◽  
Data Validation ◽  
Pipe Failure ◽  
Energy Agency ◽  
Failure Data ◽  
Project Data ◽  
Project Objectives

The Nuclear Energy Agency (NEA) of the Organization for Economic Co-Operation and Development (OECD) has initiated a project to establish an international pipe failure data collection and exchange program. This OECD Pipe Failure Data Exchange (OPDE) Project has been established to encourage multilateral co-operation in the collection and analysis of data relating to pipe failure events in commercial nuclear power plants. This paper presents a brief description of the ODPE project objectives and work scope, as well as the Canadian contribution on data validation with respect to development and application of the pipe failure data collection on which OPDE is based.

The OECD Pipe Failure Data Exchange Project: Validation of Canadian Data

2006 ◽  
Author(s):  
Tom Viglaski ◽  
Andrei Blahoianu ◽  
Bengt Lydell ◽  
Jovica Riznic
Keyword(s):  
Data Collection ◽  
Nuclear Power ◽  
Data Exchange ◽  
Power Plants ◽  
Structural Integrity ◽  
Passive Component ◽  
Pipe Failure ◽  
Energy Agency ◽  
Failure Data ◽  
Project Objectives

Structural integrity of piping systems is important to plant safety and operability. Information on degradation and failure of piping components and systems is collected and evaluated by regulatory agencies, international organizations (e.g., OECD/NEA and IAEA) and industry organizations worldwide to establish systematic feedback to reactor regulation and research and development programs associated with non-destructive examination (NDE) technology, in-service inspection (ISI) programs, leak-before-break evaluations, risk-informed ISI, and probabilistic safety assessment (PSA) applications involving passive component reliability. In 2002, the Nuclear Energy Agency (NEA) of the Organization for Economic Co-Operation and Development (OECD) has initiated an international pipe failure data collection and exchange project. The OECD Pipe Failure Data Exchange (OPDE) Project has been established to encourage multilateral co-operation in the collection and analysis of data relating to pipe failure events in commercial nuclear power plants. At present, the database contains 3644 records to which twelve participating countries contributed. This paper presents a brief description of the ODPE project objectives and work scope, as well as the Canadian contribution on data validation with respect to development and application of the pipe failure data collection on which OPDE is based. It gives a number of tables and figures that can be obtained from these records, with selected data ranging from a very broad (i.e. level of participation in the database from each member country), to very specific (i.e. plant operational state at time of pipe failure discovery for CANDU reactors).

OPDE—The international pipe failure data exchange project

2008 ◽  
Vol 238 (8) ◽  
pp. 2115-2123 ◽  
Author(s):  
Bengt Lydell ◽  
Jovica Riznic
Keyword(s):  
Data Exchange ◽  
Pipe Failure ◽  
Failure Data

scholarly journals Application of genetic programming to modeling pipe failures in water distribution systems

2010 ◽  
Vol 13 (3) ◽  
pp. 419-428 ◽  
Author(s):  
Qiang Xu ◽  
Qiuwen Chen ◽  
Weifeng Li
Keyword(s):  
Genetic Programming ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Pipe Failure ◽  
Beijing City ◽  
Failure Data ◽  
Processing Strategies ◽  
Gis Data ◽  
Failure Models

The water loss from a water distribution system is a serious problem for many cities, which incurs enormous economic and social loss. However, the economic and human resource costs to exactly locate the leakage are extraordinarily high. Thus, reliable and robust pipe failure models are demanded to assess a pipe's propensity to fail. Beijing City was selected as the case study area and the pipe failure data for 19 years (1987–2005) were analyzed. Three different kinds of methods were applied to build pipe failure models. First, a statistical model was built, which discovered that the ages of leakage pipes followed the Weibull distribution. Then, two other models were developed using genetic programming (GP) with different data pre-processing strategies. The three models were compared thereafter and the best model was applied to assess the criticality of all the pipe segments of the entire water supply network in Beijing City based on GIS data.

Overview of Wind Turbine Field Failure Databases: A Discussion of the Requirements for an Analysis

2018 ◽  
Author(s):  
Roozbeh Bakhshi ◽  
Peter Sandborn
Keyword(s):  
Statistical Analysis ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farms ◽  
Onshore Wind ◽  
Failure Times ◽  
Reliability Parameters ◽  
Failure Data ◽  
Offshore Installations ◽  
Field Failure

With renewable energy and wind energy in particular becoming mainstream means of energy production, the reliability aspect of wind turbines and their sub-assemblies has become a topic of interest for owners and manufacturers of wind turbines. Operation and Maintenance (O&M) costs account for more than 25% of total costs of onshore wind projects and these costs are even higher for offshore installations. Effective management of O&M costs depends on accurate failure prediction for turbine sub-assemblies. There are numerous models that predict failure times and O&M costs of wind farms. All these models have inputs in the form of reliability parameters. These parameters are usually generated by researchers using field failure data. There are several databases that report the failure data of operating wind turbines and researches use these failure data to generate the reliability parameters through various methods of statistical analysis. However, in order to perform the statistical analysis or use the results of the analysis, one must understand the underlying assumptions of the database along with information about the wind turbine population in the database such as their power rating, age, etc. In this work, we analyze the relevant assumptions and discuss what information is required from a database in order to improve the statistical analysis on wind turbines’ failure data.

General Insights from the International Common Cause Failure Data Exchange (ICDE) Project

2004 ◽  
pp. 70-75 ◽  
Author(s):  
Patrick Baranowsky ◽  
Dale Rasmuson ◽  
Gunnar Johanson ◽  
Albert Kreuser ◽  
Pekka Pyy ◽  
...  
Keyword(s):  
Data Exchange ◽  
Common Cause ◽  
Common Cause Failure ◽  
Failure Data
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