UAS Reliability – Testing

TRI’s experienced engineers use a variety of accelerated life techniques to stress
components and assemblies in conditions designed to mimic the wide ranging field
conditions where military equipment is being used. With their deep experience in
physics of failure and failure analysis, our engineers can quickly diagnose failure
modes and mechanisms to identify points of vulnerability in your design and advise
you on efficient mitigation strategies, redundancies and backup systems. Routinely,
we offer accelerated life testing (ALT) in the following conditions:

UAS testing chartProbabilities of failure at each stress level graph UAS

triangle graph UAStriangle UAS graph 2lifetime vs stress level UAS graphWe have also offered a variety of sustained, long-term test conditions on a nonstandardized,
non-routine, specialty basis. Examples include:
• Hydraulic pressure
• Tensile and compressive pressure
• Ultraviolet light exposure (UV-A or UV-B) in conjunction with moisture condensation
Our reliability and test engineers routinely use systematic experimental design and
analysis tools to cost efficiently organize ALT strategies and to support reliability

assessments for your product. A selection of these include:
• National Instruments LabVIEW • MathWorks MATLAB • ReliaSoft ALTA Pro
• Stat-Ease Design-Expert • ANSYS Finite Element
• ReliaSoft Weibull++
• ReliaSoft BlockSIM
TRI reliability engineers will design your accelerated life tests based on the principles
delineated in Nelson’s treatise. Thus, by measuring lifetime at a series of increasing
stress levels, we can estimate lifetime at normal use levels with a high degree of
confidence using only a fraction of the actual lifetime expected for the product in the
In combination with response surface methodologies available from standardized
experimental design, it is possible to assess impact due to several environmental
stresses in combination with each other, without undue burden on test schedule.

TRI/Austin uses response surface constructions and associated statistical analyses
to quantify and demonstrate how design parameters change in response to stress
levels in an ALT regimen. Here we show functional dependence of non-linear (left)
and linear (right) response surfaces to three environmental stress factors