Reliability Reliability of Adhesives used in High Quality Audio Components.

Slides:



Advertisements
Similar presentations
+ Failure rates. + outline Failure rates as continuous distributions Weibull distribution – an example of an exponential distribution with the failure.
Advertisements

11-1 Empirical Models Many problems in engineering and science involve exploring the relationships between two or more variables. Regression analysis.
Structural reliability analysis with probability- boxes Hao Zhang School of Civil Engineering, University of Sydney, NSW 2006, Australia Michael Beer Institute.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
Optimization of Cutter Life DSES 6070 HV5 Professor Gutierrez-Miravete By: Frank Gibilisco.
LECTURE 3 Introduction to Linear Regression and Correlation Analysis
© 2010 Pearson Prentice Hall. All rights reserved Least Squares Regression Models.
Helicopter System Reliability Analysis Statistical Methods for Reliability Engineering Mark Andersen.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 13-1 Chapter 13 Simple Linear Regression Basic Business Statistics 11 th Edition.
Tensile Strength of Composite Fibers Author: Brian Russell Date: December 4, 2008 SMRE - Reliability Project.
Tensile Strength of Composite Fibers Author: Brian Russell Date: November 20, 2008 SMRE - Reliability Project.
Coating Cans Wear Analysis Kevin Jacob DSES_6070.
Simple Linear Regression Analysis
Copyright © 2014 reliability solutions all rights reserved Reliability Solutions Seminar Managing and Improving Reliability 2014 Agenda Martin Shaw – Reliability.
11-1 Empirical Models Many problems in engineering and science involve exploring the relationships between two or more variables. Regression analysis.
Automobile Warranty Data Analysis by Anita Rebarchak DSES-6070 HV5 Statistical Methods for Reliability Engineering Professor Ernesto Gutierrez-Miravete.
Chapter 7 Forecasting with Simple Regression
CARLOS CEDEÑO DSES /04/2008 Reliability of the Three Main Engines of Space Shuttle.
Uncertainty Quantification and Dimension Prediction in Forging and Cooling Processes Belur K. Badrinarayan Adviser: Dr. Ramana V. Grandhi.
Reliability of Automated Insulin Pumps Medtronic Mini-Med Paradigm® DSES-6070 HV7 Statistical Methods for Reliability Engineering Professor Ernesto Gutierrez-Miravete.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS & Updated by SPIROS VELIANITIS.
Introduction to Linear Regression and Correlation Analysis
L Berkley Davis Copyright 2009 MER301: Engineering Reliability Lecture 13 1 MER301: Engineering Reliability LECTURE 13 Chapter 6: Multiple Linear.
Correlation and Regression Paired Data Is there a relationship? Do the numbers appear to increase or decrease together? Does one set increase as the other.
STEM Fair Graphs & Statistical Analysis. Objectives: – Today I will be able to: Construct an appropriate graph for my STEM fair data Evaluate the statistical.
OPIM 303-Lecture #8 Jose M. Cruz Assistant Professor.
Data Handling & Analysis BD7054 Scatter Plots Andrew Jackson
Integrated circuit failure times in hours during stress test David Swanick DSES-6070 HV5 Statistical Methods for Reliability Engineering Summer 2008 Professor.
An Empirical Likelihood Ratio Based Goodness-of-Fit Test for Two-parameter Weibull Distributions Presented by: Ms. Ratchadaporn Meksena Student ID:
Correlation and Prediction Error The amount of prediction error is associated with the strength of the correlation between X and Y.
Project II Team 9 Philippe Delelis Florian Brouet 이성혁.
Copyright © 2014 reliability solutions all rights reserved Reliability Solutions Seminar Managing and Improving Reliability 2015 Agenda Martin Shaw – Reliability.
Rensselaer Polytechnic Institute Lally School of Management & Technology MGMT 6070 Statistical Methods for Reliability Engineering Term Project Presentation.
1 11 Simple Linear Regression and Correlation 11-1 Empirical Models 11-2 Simple Linear Regression 11-3 Properties of the Least Squares Estimators 11-4.
1 Reliability Evaluation of Trailer Axles -Larry McLean Final Project for DESE-6070HV7 Statistical Methods for Reliability Engineering Dr. Ernesto Gutierrez-Miravete.
PHY306 1 Modern cosmology 3: The Growth of Structure Growth of structure in an expanding universe The Jeans length Dark matter Large scale structure simulations.
Aircraft Windshield Failures Statistical Methods for Reliability Engineering Professor Gutierrez-Miravete Erica Siegel December 4, 2008.
STA 286 week 131 Inference for the Regression Coefficient Recall, b 0 and b 1 are the estimates of the slope β 1 and intercept β 0 of population regression.
Statistical Analysis Topic – Math skills requirements.
1 1 Slide © 2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole.
Disk Failures Eli Alshan. Agenda Articles survey – Failure Trends in a Large Disk Drive Population – Article review – Conclusions – Criticism – Disk failure.
Extensive Investigation of Calibrated Accelerated Life Testing (CALT) in Comparison with Classical Accelerated Life Testing (ALT) Burak Sal (Presenter),
Components are existing in ONE of TWO STATES: 1 WORKING STATE with probability R 0 FAILURE STATE with probability F R+F = 1 RELIABLEFAILURE F R Selecting.
+ Data Analysis Chemistry GT 9/18/14. + Drill The crown that King Hiero of Syracuse gave to Archimedes to analyze had a volume of 575 mL and a mass of.
Reliability Engineering in Mechanical Engineering Project II Group #1: 천문일, 최호열.
Chapter 12 Simple Linear Regression.
Nonlinear regression Review of Linear Regression.
Chapter 9 Minitab Recipe Cards. Contingency tests Enter the data from Example 9.1 in C1, C2 and C3.
Term Project 2 Reliability estimations by S-S model Team 2 _ 양지훈 오혜정.
INTRODUCTION TO MULTIPLE REGRESSION MULTIPLE REGRESSION MODEL 11.2 MULTIPLE COEFFICIENT OF DETERMINATION 11.3 MODEL ASSUMPTIONS 11.4 TEST OF SIGNIFICANCE.
11-1 Empirical Models Many problems in engineering and science involve exploring the relationships between two or more variables. Regression analysis.
Martin Shaw – Reliability Solutions
Exploring the Backblaze Hard Drive Data Big, Missing, Problematic Data
MORE SOLVED EXAMPLES Lecture 5 Prof. Dr. Ahmed Farouk Abdul Moneim.
Chapter 13 Created by Bethany Stubbe and Stephan Kogitz.
Martin Shaw – Reliability Solutions
Simple Linear Regression
STEM Fair: Statistical Analysis
Chapter 13 Simple Linear Regression
STEM Fair Graphs & Statistical Analysis
STATISTICS Topic 1 IB Biology Miss Werba.
Tutorial 9 Suppose that a random sample of size 10 is drawn from a normal distribution with mean 10 and variance 4. Find the following probabilities:
y x y = x + 2 y = x + 4 y = x – 1 y = -x – 3 y = 2x y = ½x y = 3x + 1
Performing a regression analysis
Normal Distribution: Finding Probabilities
Chapter 13 Simple Linear Regression
Correlation and Simple Linear Regression
Correlation and Simple Linear Regression
Presentation transcript:

Reliability Reliability of Adhesives used in High Quality Audio Components

Background Adhesives used to bond two metallic components together. Adhesive is Key Process Input (KPI) for the construction of speakers. Storage conditions (temperature and humidity) are KPI’s to reliability of adhesive.

Background Two Conditions: –Factor 1: Length of Storage Bond strength was measured for adhesives stored for 3 days to 82 days. –Factor 2: Storage Temperature and Humidity Bond strength measured for adhesives stored at 4 conditions: Relative Humidity

Analysis Steps of Analysis –Excel –Minitab –Maple –Monte Carlo Analysis

Excel Analysis of Storage Conditions

Storage Time Analysis Table of MTTF Standard 95% Normal CI Distribution Mean Error Lower Upper Weibull

Storage Conditions Capability

Storage Conditions Minitab Analysis Distribution ID Plot: Test 1 Goodness-of-Fit Anderson-Darling Correlation Distribution (adj) Coefficient Weibull Table of MTTF Standard 95% Normal CI Distribution Mean Error Lower Upper Weibull Distribution ID Plot: Test 2 Goodness-of-Fit Anderson-Darling Correlation Distribution (adj) Coefficient Weibull Table of MTTF Standard 95% Normal CI Distribution Mean Error Lower Upper Weibull Distribution ID Plot: Test 3 Goodness-of-Fit Anderson-Darling Correlation Distribution (adj) Coefficient Weibull Table of MTTF Standard 95% Normal CI Distribution Mean Error Lower Upper Weibull Distribution ID Plot: Test 4 Goodness-of-Fit Anderson-Darling Correlation Distribution (adj) Coefficient Weibull Table of MTTF Standard 95% Normal CI Distribution Mean Error Lower Upper Weibull

Conclusions Storage Conditions showed significant differences in MTTF. Storage Time did not show significant differences in MTTF Further Weibull analysis in Maple required. Equations from Maple will be used to conduct Monte Carlo Analysis.