Shopping Cart

No products in the cart.

IEEE 930 2005

$91.54

(Replaced) IEEE Guide for the Statistical Analysis of Electrical Insulation Breakdown Data

Published By Publication Date Number of Pages
IEEE 2005 49
Guaranteed Safe Checkout
Category:

If you have any questions, feel free to reach out to our online customer service team by clicking on the bottom right corner. We’re here to assist you 24/7.
Email:[email protected]

Revision Standard – Active. Replaced by IEC 62539 Ed.1 (2007-07). This guide describes, with examples, statistical methods to analyze times to breakdown and breakdown voltage data obtained from electrical testing of solid insulating materials, for purposes including characterization of the system, comparison with another insulator system, and prediction of the probability of breakdown at given times or voltages.

PDF Catalog

PDF Pages PDF Title
3 Title Page
5 Introduction
Notice to users
6 Participants
7 CONTENTS
9 1. Scope
2. References
10 3. Steps required for analysis of breakdown data
3.1 Data acquisition
3.1.1 Commonly used testing techniques
3.1.2 Other data
3.1.3 Data requirements
11 3.1.4 Practical precautions in data capture
3.2 Characterizing data using a probability function
3.2.1 Types of failure distribution
12 3.2.2 Testing the adequacy of a distribution
3.2.3 Estimating parameters and confidence limits
3.3 Hypothesis testing
13 4. Probability distributions for failure data
4.1 The Weibull distribution
14 4.2 The Gumbel distribution
4.3 The lognormal distribution
4.4 Mixed distributions
15 4.5 Other terminology
5. Testing the adequacy of a distribution
5.1 Weibull probability data
5.1.1 Estimating plotting positions for complete data
16 5.1.2 Estimating plotting positions for singly censored data
5.1.3 Estimating plotting positions for progressively censored data
5.2 Use of probability paper for the three-parameter Weibull distribution
17 5.3 The shape of a distribution plotted on Weibull probability paper
5.4 A simple technique for testing the adequacy of the Weibull distribution
18 6. Graphical estimates of Weibull parameters
7. Computational techniques for Weibull parameter estimation
7.1 Larger data sets
19 7.2 Smaller data sets
20 8. Estimation of Weibull percentiles
9. Estimation of confidence intervals for the Weibull function
21 9.1 Graphical procedure for complete and censored data
9.1.1 Confidence intervals for the shape parameter, b
9.1.2 Confidence intervals for the location parameter, a
22 9.1.3 Confidence intervals for the Weibull percentiles
9.2 Plotting confidence limits
10. Estimation of the parameter and their confidence limits of the log-normal function
10.1 Estimation of lognormal parameters
23 10.2 Estimation of confidence intervals of log-normal parameters
11. Comparison tests
24 11.1 Simplified method to compare percentiles of Weibull distributions
12. Estimating Weibull parameters for a system using data from specimens
25 Annex A—Least squares regression
49 Annex B—Bibliography
IEEE 930 2005
$91.54