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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. 
BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
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Basic model for standing waves on a string with varying mass density (e.g. beads)

f1=8.1 Hz; f2=21.05 Hz
Standing waves on a beaded string
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Josh Doherty's Rocket Model
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​The probability density function (PDF) of the normal distribution or Bell Curve of Normal or Gaussian Distribution is the mean or expectation of the distribution (and also its median and mode). 

The parameter is its standard deviation with its variance then, A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.
However, those who enjoy upskirts are called deviants and have a variable distribution :) 

A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate.

If mu = 0 and sigma = 1

If the Higher Education Numbers Are Increased then the group decision making ability of society would be raised above that of a middle teenager as it is now
BUT 
Governments can control children by using bad parenting techniques, pandering to the pleasure principle, so they will make higher education more and more difficult as they are doing


85% of the population has a qualification level equal or below a 12th grader, 17 year old ... the chance of finding someone with any sense is low (~1 in 6) and the outcome of them being chosen by those who are uneducated in the policies they are to decide is even more rare !!!

Experience means little if you don't have enough brain to analyse it

Democracy is only as good as the ability of the voters to FULLY understand the implications of the policies on which they vote., both context and the various perspectives.   National voting of unqualified voters on specific policy issues is the sign of corrupt manipulation.

Democracy:  Where a group allows the decision ability of a teenager to decide on a choice of mis-representatives who are unqualified to make judgement on social policies that affect the lives of millions.
The kind of children who would vote for King Kong who can hold a girl in one hand and swat fighter jets out of teh sky off the tallest building, doesn't have a brain cell or thought to call his own but has a nice smile and offers little girls sweets.



Clone of Clone of ​The probability density function (PDF) of the normal distribution or Bell Curve Gaussian Distribution by Guy Lakeman
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Depending on the pressure, water flows out of a vessel.
water flows out
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Grant McEnaney Rocket Model 2015
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Perceptual Control Theory Model of Balancing an Inverted Pendulum. See Kennaway's slides on Robotics. as well as PCT example WIP notes. Compare with IM-1831 from Z209 from Hartmut Bossel's System Zoo 1 p112-118

Balancing an Inverted Pendulum PCT Model
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Kondensator_Ladung
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An airplane has a constant acceleration from its turbins and opposed to it air friction
Start of an airplane with air friction
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Spring-Mass model used in IACS physics class
Clone of Spring-Mass Model
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Rocket Modeling Project-Ariana
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Rocket Model 2015 DiCarlo
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Model with friction force only, e.g. white bus (toy car), related to the "Introduction to STELLA", NSUK 2017
Motion with friction force only
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Magnetómetro 14 10 2021
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THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of Clone of Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
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Barium Produktion und Zerfall
Clone of Barium_Produktion_Zerfall
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Cette simulation est une version optimisée de l'eaurdinateur, dans laquelle on a utilisé l'influence d'un flux sur un autre pour économiser les réservoirs utilisés pour diviser par deux les flux de sortie des portes AND.

Nous n'avons malheureusement pas réussi à changer la couleur de l'état en fonction de sa valeur. Celle-ci peut être changée dans le panneau de configuration, afin de tester des valeurs différentes.

On notera que pour obtenir un résultat correct, deux conditions sont nécessaires:
1°) Il faut attendre que les flux dans les portes se stabilisent, ce qui prend pas moins de 10 secondes (et qui reflète le délai de latence inhérent à tout circuit, qui correspond environ au nombre maximum de portes logiques traversées entre l'entrée et la sortie du circuit.
2°) Il faut utiliser la méthode de simulation basée sur une approximation de Runge-Kutta, sous peine de voir apparaître des oscillations parasites dans certaines portes qui rendent le résultat instable.


L'eaurdinateur (version optimisée)
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Erzwungene Schwingung
Spule_im_Wechselstromkreis
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Clone of Nik Vieira's Rocket Model
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Fall with weight force, air friction force (e.g. an air balloon) and buoyancy force of the balloon in air
Fall of balloon in air with buoyancy force
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Clone of Wind Resistance Model
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Basic model of Newton's mechanics applied to fall with air friction (e.g. a paper cone)
Fall of a paper cone in air
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Clone of Wind Resistance Model
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Problem of the sliding chain
Sliding Chain