Challenger: The Challenger Space Shuttle O-Ring Dataset

In courtiol/LM2GLMM: Data science for biologists: Generalized linear modelling with R

The Challenger Space Shuttle O-Ring Dataset

Description

Edited from (Draper, 1993): The motivation for collecting this database was the explosion of the USA Space Shuttle Challenger on 28 January, 1986. An investigation ensued into the reliability of the shuttle's propulsion system. The explosion was eventually traced to the failure of one of the three field joints on one of the two solid booster rockets. Each of these six field joints includes two O-rings, designated as primary and secondary, which fail when phenomena called erosion and blowby both occur. The night before the launch a decision had to be made regarding launch safety. The discussion among engineers and managers leading to this decision included concern that the probability of failure of the O-rings depended on the temperature t at launch, which was forecase to be 31 degrees F. There are strong engineering reasons based on the composition of O-rings to support the judgment that failure probability may rise monotonically as temperature drops. One other variable, the pressure at which safety testing for field join leaks was performed, was available, but its relevance to the failure process was unclear.

Usage

Challenger

Format

A dataframe with 5 variables:

oring_tot

The number of O-rings at risk on a given flight

oring_dt

The number experiencing thermal distress

temp

The launch temperature (degrees F)

psi

The leak-check pressure (psi)

flight

The temporal order of flight

Source

https://archive.ics.uci.edu/ml/datasets/Challenger+USA+Space+Shuttle+O-Ring

Original dataset from: Draper,D. (1993). Assessment and propagation of model uncertainty. In Proceedings of the Fourth International Workshop on Artificial Intelligence and Statistics (pp. 497–509). Ft. Lauderdale, FL: Unpublished.

courtiol/LM2GLMM documentation built on July 3, 2022, 7:42 a.m.