Just curious if anyone is measuring how many hours there heaters run and how long they last? I have a BRS 300 watt Titanium heater with over 4300 hours which is kind of impressive for 75 dollars in my opinion.
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They don't fail because of runtime hours so why track it.
They actually do...
Thermal cycling is the primary culprit.
1 - the bi-metal thermostat (or electronic thermistat) cycling
2 - the heating element thermal cycling
3 - the epoxy seal and envelope expanding and contracting at different rates, eventually allowing water in.
So metal fatigue and adhesion fatigue (or material aging), or electronic component aging.
TLDR: logically: the longer a heater accumulates "running hours" in a normal system, the more cycles it will undergo. hYou say its a function of time then list 3 reason that are related to cycling which causes material fatigue. I'm scratching my head here.
Operating "time" is relevant to the number of cycles that a heater will undergo. It is not a direct metric and depends on the system, but for any reasonable system the longer the accumulated run time (or for that matter, time in service), the more thermal cycles that the heater will undergo.Heater failure is not caused by how old the heater is. If you read reviews they can fail after weeks and some have reported a heater running for 2 decades (you). You yourself list 3 reasons that have nothing to do with time.
That depends on one's goal I suppose. Record keeping to comparing failure times to predict future failures for the same model and/or plan for spares or statistical failure probability, etc.What is the point of recording runtime if there is no specified time a heater is good for?
TLDR: logically: the longer a heater accumulates "running hours" in a normal system, the more cycles it will undergo.
...
Logically - in any normally operating system where the heater can reach the set point, the more hours on the heater, the higher number of cycles that the thermostat will likely undergo.
Logically (again the longer the heater is in service in a normally operating system, the larger the number of thermal cycles it will undergo.
Operating "time" is relevant to the number of cycles that a heater will undergo. It is not a direct metric and depends on the system, but for any reasonable system the longer the accumulated run time (or for that matter, time in service), the more thermal cycles that the heater will undergo.
Likewise, just because you (or anybody) does not have a need or the ability to apply those numbers or a reference (published MTBF spec for examples) to compare against, does not change the fact that the longer a heater is in service, the more likely it is to fail due to the reasons stated. It may be that simple intuition of planning says "Hey one way or the other, when my heater reaches 5,000 run time hours, I will proactively replace it"
Would a better metric to track be the number of cycles? Likely, but maybe the mechanism to do so is not exposed so the fallback would be run-time or time-in-service. Such fallback metrics are often used when more granular metrics are not exposed.