gr8jab
Contributor
Hi all,
Everyone here has opinions on pony bottles and spare-air and doubles and sidemount. I'm not asking to rehash any of that stuff. I've read them all and am trying to form my own opinions. As an engineer, I try to stay away from 'feelings' or 'assumptions' or 'guesses' and go with facts (data).
For this analysis, I'd like to ignore human error (such as poor planning or bad decisions).
I'm wondering if there is a source of data concerning equipment failures. I'm specifically interested in mechanical failure that would cause a loss in breathable air. I can't name all the causes, but the obvious ones are things like o-ring failures, hose ruptures, primary or secondary regulator failures, and free-flow. Is there a source of data, such as Mean Time Between Failure (MTBF), or maybe a historical incident rates? I know some here have analyzed scuba accident data (fatality info). Maybe there is other interesting data captured and stored somewhere.
I'm avoiding anecdotal stories or single-event data points, which don't tell me the probabilities of equipment failure. "This one time, at band camp..." may be entertaining but is also irrelevant.
Thanks!
Everyone here has opinions on pony bottles and spare-air and doubles and sidemount. I'm not asking to rehash any of that stuff. I've read them all and am trying to form my own opinions. As an engineer, I try to stay away from 'feelings' or 'assumptions' or 'guesses' and go with facts (data).
For this analysis, I'd like to ignore human error (such as poor planning or bad decisions).
I'm wondering if there is a source of data concerning equipment failures. I'm specifically interested in mechanical failure that would cause a loss in breathable air. I can't name all the causes, but the obvious ones are things like o-ring failures, hose ruptures, primary or secondary regulator failures, and free-flow. Is there a source of data, such as Mean Time Between Failure (MTBF), or maybe a historical incident rates? I know some here have analyzed scuba accident data (fatality info). Maybe there is other interesting data captured and stored somewhere.
I'm avoiding anecdotal stories or single-event data points, which don't tell me the probabilities of equipment failure. "This one time, at band camp..." may be entertaining but is also irrelevant.
Thanks!