Physics | Insight Maker

Simulation of MTBF with controls

F(t) = 1 - e ^ -λt

Where

• F(t) is the probability of failure

• λ is the failure rate in 1/time unit (1/h, for example)

• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime,
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life

If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life

The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.

Wearout

The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period.

Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK

Brayan Triminio

Problem of the sliding chain

Clone of Sliding Chain

philippe myrand

E2b. Optrekken met luchtwrijving

Fysica

Clone of Wind Resistance Model

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Clone of Versnelling

CILLANN

Pendulum Oscillation

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Filling a tank with a pump. Tank is straight-walled (constant capacitance). Flow is laminar (linear flow relation.

Energy quantities have been added.

Filling_Tank_Energy

Hans Fuchs

Clone of 5. Lanceren van een raket in 1 dimensie

Giulia Slofstra

Clone of 9. Eenparige worp met luchtwrijving, beginhoek en beginsnelheid

Boris van Groeningen

Problem of the sliding chain

Clone of Sliding Chain

Héloise Perrault

Clone of 3. Vallen met luchtwrijving en parachute

Mark Houwaard

Clone of Rocket Model

Benedikt Hitthaler

Problem of the sliding chain

Clone of Sliding Chain

Anaïs Lessard

Clone of Clone of 6. Raket met brandstofverbruik

Thijn Hoekstra

b) 102,3 s, 2197,6 m

c) richtingscoefficiënt neemt toe, dus snelheid neemt toe, wat betekent dat omstandigheden veranderen. Dit is naast het dalen van rho en verandering van het gewicht, dus Fz

d) als er geen brandstof wordt verbruikt, werkt de motor niet

Raket met brandstof

Mats van Beek

Problem of the sliding chain

Clone of Sliding Chain

Asmaa El Homsi

Simulating soil temperature profile.

'Tm' is the annual surface mean temperature. 'delta T' is the annual variation in surface temperature. 'Te' is the long term equilibrium temperature at depth.

Clone of Seasonal Heat Flow into Surface of Earth