Reliability engineering · time-to-failure models

Reliability and Hazard Functions

Density asks when do units fail? Hazard asks a sharper question: of the units still working right now, what fraction breaks in the next hour? Drag the line and watch all three curves move together — one population, three ways of interrogating it.

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Hazard divides by the survivors

h(t) = f(t) / R(t). The density spreads failures across everyone who will ever fail; the hazard rate charges them only to the units still alive. That denominator keeps shrinking, so hazard can climb steeply while the density is already falling away.

Try: Wear-out, late t — f ↓ while h ↑

The bathtub is three mechanisms

Hazards from independent failure modes simply add. Manufacturing defects (falling), random shocks (flat) and wear-out (rising) sum to the familiar tub — which is why burn-in buys you the left wall and preventive replacement caps the right one.

Try: Bathtub — the panel names each zone

Only the exponential forgets

Conditional reliability R(t+s | t) = R(t+s) / R(t) is the chance a unit that already survived to t completes one more mission of length s. Constant hazard means that answer never changes with age — a used part is as good as new.

Try: Mission mode — slide t on Exponential, then on Wear-out
Design lives behind the picture
LifeReliability RAge (h) Hazard there (per 1000 h)Cum. hazard H