2016 Bayesian networks to analyse led reliability

Editor's Notes

• #2: Reliability is a discipline that continues to increase in importance as systems become more complex, support costs increase, and defense budgets decrease. Reliability has been a recognized performance factor for at least 50 years. During World War II, the V-1 missile team, led by Dr. Wernher von Braun, developed what was probably the first reliability model. The model was based on a theory advanced by Eric Pieruschka that if the probability of survival of an element is 1/x, then the probability that a set of n identical elements will survive is (1/x)n . The formula derived from this theory is sometimes called Lusser’s law (Robert Lusser is considered a pioneer of reliability) but is more frequently known as the formula for the reliability of a series system: Rs = R1 x R2 x . . x Rn.
• #7: Bayesian Networks are derived from Bayes Theorem - A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #8: In mathematics and computer science, a directed acyclic graph (, is a directed graph with no directed cycles. That is, it is formed by a collection of vertices and directed edges, each edge connecting one vertex to another, such that there is no way to start at some vertex v and follow a sequence of edges that eventually loops back to v again.[1][2][3] DAGs may be used to model many different kinds of information.
• #9: A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #10: A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #11: A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #12: A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #13: A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #14: A Bayesian Network is a so-called directed acyclic graph. Basically Bayesian Networks are used to represent knowledge and the nice thing is that you can calculate with these networks and update the networks as your knowledge – based upon new insights or new measurements- increases
• #24: It isn't just about the LED. Good LEDs can be incorporated into poorly engineered products and turn the Methuselah of lighting into the exponent of “live fast, die young.” The promise of LED lifetime is often presented in terms of hours and years but with little background data to support anything beyond vacuous promises. The statement of 100,000 hours of LED luminaire lifetime has given way to the realization that there is little consistency, very little published data, and few hard facts around so‐called luminaire lifetime numbers. The situation is better at the LED package level, where reputable manufacturers have thousands of hours of data under varying conditions. But this is not enough.
• #34: De onbemande ruimtesonde Voyager 2 werd op 20 augustus 1977 vanaf Cape Canaveral, Florida gelanceerd aan boord van een Titan III raket. Het oorspronkelijke doel van Voyager 1 en 2 was het van dichtbij onderzoeken van Jupiter, Saturnus, de ringen van Saturnus en de grootste manen van beide planeten. Indien mogelijk - de sondes waren gebouwd om vijf jaar operationeel te zijn - zou Voyager 2 echter ook nog Uranus en Neptunus aandoen. Op 22 april 2010 ontstond er een probleem met de communicatie tussen aarde en de Voyager 2. De 33 jaar oude Voyager die zich nu op ruim 14 miljard kilometer ( 14.000.000.000 km ) bevindt stuurde signalen naar de aarde die niet te decoderen waren. De Voyager werkte naar eigen zeggen nog goed. Nasa heeft het probleem inmiddels verholpen. Makkelijk was dat niet aangezien een commando vanaf de aarde er 13 uur over doet om de Voyager te bereiken. Nadat de Voyager drie weken in "spaarstand" heeft gestaan bleek de oorzaak in het computergeheugen te zitten. Een enkel bitje was spontaan van 0 naar 1 gesprongen. Nasa heeft de computer van de sonde gereset en de sonde lijkt nu weer naar behoren te werken