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8. Assessing Product Reliability
8.1. Introduction

8.1.4.

What is "physical acceleration" and how do we model it?

When changing stress is equivalent to multiplying time to fail by a constant, we have true (physical) acceleration

Physical Acceleration (sometimes called True Acceleration or just Acceleration) means that operating a unit at high stress (i.e., higher temperature or voltage or humidity or duty cycle, etc.) produces the same failures that would occur at typical-use stresses, except that they happen much quicker. 

Failure may be due to mechanical fatigue, corrosion, chemical reaction, diffusion, migration, etc. These are the same causes of failure under normal stress; the time scale is simply different.

An Acceleration Factor is the constant multiplier between the two stress levels When there is true acceleration, changing stress is equivalent to transforming the time scale used to record when failures occur. The transformations commonly used are linear, which means that time-to-fail at high stress just has to be multiplied by a constant (the acceleration factor) to obtain the equivalent time-to-fail at use stress. 

We use the following notation: 
ts = time-to-fail at stress tu = corresponding time-to-fail at use
Fs(t) = CDF at stress Fu(t) = CDF at use
fs(t) = PDF at stress fu(t) = PDF at use
hs(t) = failure rate at stress hu(t) = failure rate at use

Then, an acceleration factor AF between stress and use means the following relationships hold: 

Linear Acceleration Relationships


Time-to-Fail tu = AF × ts
Failure Probability Fu(t) = Fs(t/AF)
Reliability Ru(t) = Rs(t/AF)
PDF or Density Function fu(t)  = (1/AF)fs(t/AF)
Failure Rate hu(t) = (1/AF) hs(t/AF)
Each failure mode has its own acceleration factor

Failure data should be separated by failure mode when analyzed, if acceleration is relevant

Data from different stress cells have the same slope on probability paper (if there is acceleration)

Note: Acceleration requires that there be a stress dependent physical process causing change or degradation that leads to failure. In general, different failure modes will be affected differently by stress and have different acceleration factors. Therefore, it is unlikely that a single acceleration factor will apply to more than one failure mechanism. In general, different failure modes will be affected differently by stress and have different acceleration factors. Separate out different types of failure when analyzing failure data. 

Also, a consequence of the linear acceleration relationships shown above (which follows directly from "true acceleration") is the following: 

The Shape Parameter for the key life distribution models (Weibull, Lognormal) does not change for units operating under different stresses. Plots on probability paper of data from different stress cells will line up roughly parallel.
These distributions and probability plotting will be discussed in later sections.
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