# All posts by Oleg Ivanov

I am an aircraft engine design engineer with experience creating accelerated tests of aviation products (auxiliary power units, turbo generators, turbo pumps, electro pumps). I see the shortcomings of standards and theory reliability/lifetime tests. My passion is to create new approaches (methods, tools) to accelerated tests. Life Cycle Simulator is one of these new tools.

# Lifetime Evaluation vs. Measurement. Part 4 – Quantitative HALT

Give me a place to stand on, and I will move the Earth.

Archimedes

Its known HALT is an effective way to find the weaknesses in your product during the reliability improvement program. In doing so, we view HALT as a qualitative test only. We cannot define the reliability and lifetime of the product from its results. So, unfortunately, we cannot use HALT for purposes of Type Certification, confirm the lifetime of Critical Parts, predict the warranty and maintenance costs, which are required, for example, for aviation.

If we could combine the effectiveness of HALT (high acceleration of testing) with the benefits of quantitative testing, we would get a very powerful tool for the Reliability Demonstration and the Reliability Development of the new products.

# Lifetime Evaluation vs. Measurement. Part 3.

is more powerful than being smart.

—Astro Teller

## Guest post by Oleg Ivanov

A common approach for “no failure” testing is the use of the well-known expression

$\displaystyle (1) \quad 1-CL={{R}^{n}}$

where CL is a confidence level, R is a required reliability, n is a sample size. Its parent is a Binomial distribution with zero failures. This expression is like a poor girl: Continue reading Lifetime Evaluation vs Measurement Part 3

# Lifetime Evaluation vs. Measurement. Part 2.

## Guest post by Oleg Ivanov

A result of life testing can be measurement or evaluation of the lifetime.

Measurement of the lifetime requires a lot of testing to failure. The results provide us with the life (time-to-failure) distribution of the product itself. It is long and expensive.

Evaluation of the lifetime does not require as many test samples and these tests can be without failures. It is faster and cheaper [1]. A drawback of the evaluation is that it does not give us the lifetime distribution. The evaluation checks the lower bound of reliability only, and interpretation of the results depends on the method of evaluation (the number of samples, test conditions, and the test time). Continue reading Lifetime Evaluation vs. Measurement. Part 2.