Reliability Engineering

Bathtub Curve

/bath-tub kerv/
A plot of component failure rate (λ) versus operational time that shows three distinct phases: infant mortality (decreasing rate, screened by burn-in), useful life (constant rate, characterized by FIT or MTBF), and wearout (increasing rate, driven by electromigration, hot carriers, or oxide breakdown). For RF semiconductors: GaAs HBT MTTF >107 hours at 150°C Tj; GaN HEMT MTTF >106 hours at 200°C channel temperature. Arrhenius acceleration enables extrapolation from 1000-hour stress tests.
Model: Weibull / Exponential
Unit: FIT (109 hrs)
Burn-in: 125-175°C

Understanding the Bathtub Curve

The bathtub curve is the foundational model of hardware reliability. Its shape arises from the superposition of two competing mechanisms: early-life defect-driven failures that decrease over time as weak units are eliminated, and late-life degradation-driven failures that increase as cumulative damage accumulates. Between these two regions, the failure rate is approximately constant, and failures are considered random. This constant-rate region is where reliability specifications like MTBF and FIT rates apply.

For RF components, the infant mortality phase is addressed through manufacturing screening. Burn-in subjects devices to elevated temperature (125-175°C) and electrical stress for 48-168 hours to precipitate latent defects before shipment. High-reliability programs (MIL-STD-883, JEDEC) mandate specific burn-in profiles. The useful life phase is characterized through accelerated life testing using the Arrhenius model, which relates failure rate to junction temperature through an activation energy that depends on the dominant degradation mechanism.

Reliability Equations

Constant failure rate (useful life):
R(t) = e−λt
MTTF = 1/λ
λ in FIT = failures per 109 device-hours

Arrhenius acceleration:
AF = exp[(Ea/k) × (1/Tuse − 1/Tstress)]
Ea = activation energy (eV)
k = 8.617 × 10−5 eV/K

Weibull (wearout phase):
f(t) = (β/η)(t/η)β−1 × e−(t/η)β
β < 1: infant mortality
β = 1: random (exponential)
β > 1: wearout

RF Component Reliability Comparison

TechnologyMTTF (hours)Ea (eV)Max Tj (°C)Dominant Failure
Si CMOS>1080.7125HCI, NBTI, EM
SiGe HBT>1071.0-1.2150Electromigration
GaAs HBT>1071.2-1.6175Contact degradation
GaN HEMT>1061.5-2.0225Gate degradation
InP HBT>1061.0-1.4150Contact/EM
Common Questions

Frequently Asked Questions

What are the three phases of the bathtub curve?

Infant mortality (decreasing λ): manufacturing defects precipitated by burn-in at 125-175°C for 48-168 hours. Useful life (constant λ): random failures at a FIT rate; MTBF = 1/λ. Wearout (increasing λ): cumulative degradation from electromigration, hot carrier injection, or oxide breakdown; modeled by Weibull distribution with shape parameter β > 1.

How are RF component reliability ratings determined?

Accelerated life testing at 200-350°C, extrapolated using Arrhenius: AF = exp[(E_a/k)(1/T_use − 1/T_stress)]. GaN gate degradation E_a = 1.5-2.0 eV; 1000 hours at 300°C equates to ~107 hours at 150°C. Results: GaN HEMT MTTF >106 hours at 200°C channel temperature; GaAs HBT MTTF >107 hours at 150°C junction temperature.

What is the difference between MTBF and MTTF?

MTTF applies to non-repairable items (individual components); it is the average time to first failure. MTBF applies to repairable systems (base stations, radar); it is the average time between successive failures. System availability = MTBF / (MTBF + MTTR). A base station with MTBF 50,000 hours and 4-hour MTTR achieves 99.992% availability.

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