Sam Gordji, samgordji@yahoo.com Obtaining PD ,PFA , and Other Important Parameters For Pipeline Leak Detection System Sam Gordji, samgordji@yahoo.com.

Slides:



Advertisements
Similar presentations
ME T2: Compressible Flow Instructor: Maryam Einian CFD lab: 1B85 1.
Advertisements

Tutorial on Hidden Markov Models.
1 Fourth Lecture Static Characteristics of Measurement Systems (continued) Instrumentation and Product Testing.
Lecture 7 AM and FM Signal Demodulation
Samples vs. Distributions Distributions: Discrete Random Variable Distributions: Continuous Random Variable Another Situation: Sample of Data.
Copyright (c) Bani Mallick1 Lecture 4 Stat 651. Copyright (c) Bani Mallick2 Topics in Lecture #4 Probability The bell-shaped (normal) curve Normal probability.
Analysis of Drug-Gene Interaction Data Florian Ganglberger Sebastian Nijman Lab.
EXERCISE R.4 1 R.4*Find the expected value of X in Exercise R.2. [R.2*A random variable X is defined to be the larger of the numbers when two dice are.
Introduction To Correlation with SAS Sam Gordji Weir 107.
Statistical Methods For Engineers ChE 477 (UO Lab) Larry Baxter & Stan Harding Brigham Young University.
Estimation and Hypothesis Testing Now the real fun begins.
Agape Experiment: Further Statistical Studies (in progress) Dr Bernard Auriol (EuroPA meeting, November 2003)
POWER CONTROL IN COGNITIVE RADIO SYSTEMS BASED ON SPECTRUM SENSING SIDE INFORMATION Karama Hamdi, Wei Zhang, and Khaled Ben Letaief The Hong Kong University.
EXAM TOMORROW Aim: Review for Exam. Properties of Standard deviation SD measures the spread about the mean and should be used only when the mean is chosen.
EE484: Probability and Introduction to Random Processes Autocorrelation and the Power Spectrum By: Jason Cho
Thinking About Psychology: The Science of Mind and Behavior 2e Charles T. Blair-Broeker Randal M. Ernst.
Psychology’s Statistics Module 03. Module Overview Frequency Distributions Measures of Central Tendency Measures of Variation Normal Distribution Comparative.
Williams, A.: Measurement Uncertainty© Springer-Verlag Berlin Heidelberg 2003 In: Wenclawiak, Koch, Hadjicostas (eds.) Quality Assurance in Analytical.
Impact of Process Variation on Input Referred Current Offset in Current Sense Amplifiers Riya Shergill Meenakshi Sekhar.
Thinking About Psychology The Science of Mind and Behavior 3e Charles T. Blair-Broeker & Randal M. Ernst PowerPoint Presentation Slides by Kent Korek Germantown.
Task 2.6. Products and services. Sub-tasks Definition and design of added value products Definition and design of added value products
2.1 Frequency distribution Ogive. Example: page 44, problem maxmin.
Module 1: Measurements & Error Analysis Measurement usually takes one of the following forms especially in industries: Physical dimension of an object.
CHEE320 Analysis of Process Data J. McLellan Fall, 2001.
NICMOS Calibration Challenges in the Ultra Deep Field Rodger Thompson Steward Observatory University of Arizona.
Introduction to Statistics with Mathematica 6 Welcome to IT’s seminar on stat. packages Sam Gordji, Weir 107.
POLS 7000X STATISTICS IN POLITICAL SCIENCE CLASS 5 BROOKLYN COLLEGE-CUNY SHANG E. HA Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for.
CARe Seminar ILF estimation Oliver Bettis 15 th September 2009.
The word data means information or set of given facts in numerical figures It is the science which deals with the collection, presentation, analysis and.
Hypothesis Tests. An Hypothesis is a guess about a situation that can be tested, and the test outcome can be either true or false. –The Null Hypothesis.
Psychology’s Statistics Appendix. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
1 PID Feedback Controllers PID 反馈控制器 Dai Lian-kui Shen Guo-jiang Institute of Industrial Control, Zhejiang University.
Discrete and Continuous Random Variables Section 7.1.
CHAPTER 6: SAMPLING, SAMPLING DISTRIBUTIONS, AND ESTIMATION Leon-Guerrero and Frankfort-Nachmias, Essentials of Statistics for a Diverse Society.
Topic 11 Measurement and data processing
INTRODUCTION AND DEFINITIONS
Dr Bernard Auriol (EuroPA meeting, November 2003)
ATMOSPHERIC VARIABLES
Normal Distribution and Parameter Estimation
Size of a hypothesis test
Meteorological Instrumentation and Observations
PPT 206 Instrumentation, Measurement and Control
Image quality and Performance Characteristics
Psychology 202a Advanced Psychological Statistics
© LOUIS COHEN, LAWRENCE MANION AND KEITH MORRISON
Sampling rate conversion by a rational factor
Hardware Masking, Revisited
Sample vs Population comparing mean and standard deviations
Problem: Diagnosing Spina Bifida
Graphing with Uncertainties
value of monitored variable
Slide Elements (copy & paste these elements into your presentation)
Thinking About Psychology The Science of Mind and Behavior 3e
Sam Gordji, Obtaining PD ,PFA , and Other Important Parameters For Pipeline Leak Detection System Sam Gordji,
Thank You!! For More Information Visit: m/ Call to :
1. From the Journal Called: ELSEVIER
IEEE P Wireless RANs Date:
Generating and Understanding Theoretical and Experimental Leaks
The Examination of Residuals
Estimating a Population Mean:  Not Known
A Few UST Related Topics
Slide Elements (copy & paste these elements into your presentation)
STATISTICS ELEMENTARY MARIO F. TRIOLA
MECH 373 Instrumentation and Measurement
Biostatistics Lecture (2).
Report 7 Brandon Silva.
Do Now What are the pros and cons of using a case study as a means to gather information for describing behavior.
Continuous Random Variables: Basics
PHY Signaling for Adaptive Repetition of 11p PPDU
Presentation transcript:

Sam Gordji, samgordji@yahoo.com Obtaining PD ,PFA , and Other Important Parameters For Pipeline Leak Detection System Sam Gordji, samgordji@yahoo.com To obtain a copy of “Standard Test Procedures for Evaluation Leak Detection Methods: Pipeline Leak Detection Systems”, please visit: http://www.epa.gov/swerust1/ustsystm/pipe.pdf Or http://www.nwglde.org/protocols.html Instructor’s guide is a part of this seminar and is called Semsas1.doc

Definitions Noise: A random variable, fluctuation in measurement due to temperature, pressure, and other factors Signal, a leak, e.g. .1 gph, .2 gph, etc. Signal-plus-noise, when the signal is added to the noise LR, leak rate Threshold, a location between the zero leak rate and a specific leak rate, usually half way between the above two location

Noise Only Cumulative Frequency Distribution (CFD)

-.1 Is Added to Every Test Results This Is the CFD for a Leak Rate of -.1 gph

When the Noise Is Added to the Signal

Deleting the 2 Lower and One Higher Observations

For the Same Data Changing the LR to -.20 From -.1

Page A-6 of SIR Protocol

With Leaking Tank Out of the Picture We Have

Conclusion When testing, it is real important to ensure that the instruments are working correctly and we have non-leaking pipelines As seen from the data, larger variation in the measurements the “random noise” causes problem and decrease the PD and increase the PFA Please email your question to: samgordji@yahoo.com Thank you