Statistical Analysis of Pitting Corrosion Field Data and Their Use for Realistic Reliability Estimations in Non-Piggable Pipeline Systems

CORROSION ◽  
10.5006/1195 ◽  
2014 ◽  
Vol 70 (11) ◽  
pp. 1090-1100 ◽  
Author(s):  
Alma Valor ◽  
Francisco Caleyo ◽  
Lester Alfonso ◽  
Julio Vidal ◽  
José M. Hallen
Keyword(s):  
Statistical Analysis ◽  
Pitting Corrosion ◽  
Field Data ◽  
Pipeline Systems

scholarly journals Pyrogenic iron: The missing link to high iron solubility in aerosols

2019 ◽  
Vol 5 (5) ◽  
pp. eaau7671 ◽  
Author(s):  
Akinori Ito ◽  
Stelios Myriokefalitakis ◽  
Maria Kanakidou ◽  
Natalie M. Mahowald ◽  
Rachel A. Scanza ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Southern Ocean ◽  
Atmospheric Deposition ◽  
Field Data ◽  
Biological Productivity ◽  
Iron Solubility ◽  
Field Campaigns ◽  
Anthropogenic Perturbations ◽  
Marine Productivity ◽  
Multiple Field

Atmospheric deposition is a source of potentially bioavailable iron (Fe) and thus can partially control biological productivity in large parts of the ocean. However, the explanation of observed high aerosol Fe solubility compared to that in soil particles is still controversial, as several hypotheses have been proposed to explain this observation. Here, a statistical analysis of aerosol Fe solubility estimated from four models and observations compiled from multiple field campaigns suggests that pyrogenic aerosols are the main sources of aerosols with high Fe solubility at low concentration. Additionally, we find that field data over the Southern Ocean display a much wider range in aerosol Fe solubility compared to the models, which indicate an underestimation of labile Fe concentrations by a factor of 15. These findings suggest that pyrogenic Fe-containing aerosols are important sources of atmospheric bioavailable Fe to the open ocean and crucial for predicting anthropogenic perturbations to marine productivity.

Reliability estimation of high voltage SF6 circuit breakers by statistical analysis on the basis of the field data

2013 ◽  
Vol 103 ◽  
pp. 105-113 ◽  
Author(s):  
Xiang Zhang ◽  
Ernst Gockenbach ◽  
Zhaolin Liu ◽  
Haibo Chen ◽  
Linghui Yang
Keyword(s):  
Statistical Analysis ◽  
High Voltage ◽  
Field Data ◽  
Reliability Estimation ◽  
Circuit Breakers

Statistical Analysis of Reliability Field Data in CNC System

2011 ◽  
Vol 50-51 ◽  
pp. 1013-1018 ◽  
Author(s):  
Ting Li ◽  
Yu Ning Zhong ◽  
Da Zhang You
Keyword(s):  
Statistical Analysis ◽  
Field Data ◽  
Numerical Control ◽  
Cnc System ◽  
Failure Patterns ◽  
Reliability Improvement ◽  
Weak Part ◽  
Control Failure ◽  
Frequent Failure ◽  
Criticality Analysis

Based on reliability field data of failure in the CNC system (Computer numerical control), failure spots, failure patterns and failure mechanism of the key parts in the CNC system was analyzed. According to the field data of reliability, the key subsystems of frequent failure were discovered through statistical analysis and criticality analysis. The fault tree was established, then the weak part of reliability was point out, and the basis for its reliability improvement was provided.

scholarly journals Using Personal Digital Assistants and Electronic Forms to Collect and Rapidly Summarize Field Data

HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 875D-875
Author(s):  
Arthur Villordon* ◽  
Jason Franklin ◽  
Don LaBonte
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Field Data ◽  
Data Gathering ◽  
Analysis Data ◽  
Handheld Computers ◽  
Personal Digital Assistants ◽  
Desktop Computer ◽  
Microsoft Access ◽  
Time Required

The use of handheld computers such as personal digital assistants (PDAs) represents a feasible method of automating the transfer of files to computers for archiving and statistical analysis. Data collected using the PDA can be transferred directly to a database program on a desktop computer, virtually eliminating errors associated with the reentry of manually collected data. These devices are highly portable and can be housed in protective cases, enabling data collection even in inclement environments. The availability of handheld database programs that permit the development of electronic forms further makes the PDA a viable data collection platform for scientific research. These database applications not only allow novice users to develop customized forms that facilitate the recording of alphanumeric data; these applications also synchronize directly with current desktop-based database and spread-sheet applications. We used Microsoft Access database tables, along with Visual CE, a PocketPC database application, to generate electronic forms for collecting data from research trials conducted in 2003. To facilitate comparison with manual data collection, we also recorded observations using “pen and paper” methods. We found no differences between both methods in the length of time required to enter observations. However, the PDA transferred the data to a computer 600% faster relative to the manual reentry method. Using the handheld computer, field data was immediately available for compilation and statistical analysis within minutes of completing the data gathering process, at the same time ensuring the integrity and continuity of the files.

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