Arduino Verkstad AB, the Swedish branch of Arduino, has developed a prototype that demonstrates a smart transducer network with a self-configurable communication protocol. The protocol is called I2C+, since it is based upon I2C. One of the possible areas of application is the EU funded PELARS project, where Arduino Verkstad is responsible for creating educational tools. Within the PELARS project, a maximum number of transducer modules is expected to be 20 modules, connected at the same time.The aim of this thesis was to create a testing tool and a test suite for the prototype system, which later could be used and also further developed by engineers at Arduino Verkstad, during the development of the final product. Though the testing tool was primarily needed for this particular system, it was considered desirable if it could be reused for similar projects as well.It was relevant to create the testing tool and the test suite in order to analyse the validity of the I2C+ protocol, which might become Arduino's future standard in connectivity between smart transducers. The performance of the I2C+ protocol also affects the implementation of the smart transducer system within the PELARS project.This work has been guided by a specification of requirements and also by a systematic top-down approach of solving several subproblems. A testing tool and a test suite was created, which serves as a proof-of-concept. The testing tool has a modular design, which makes the solution reusable for other purposes. The testing tool and the test suite was validated by using Arduino's prototype as a test object. Although only 10 transducer modules was used during these tests, the results showed that the prototype does not perform well for a growing number of modules. Therefore, improvement of the system and further testing is advised.

Vakuumbrytare som utsätts för höga kortslutningsströmmar (kA) kan förstöras om den rörliga kontaktdelen i brytaren studsar tillbaka för långt efter att den har nått sitt ändläge. Detta p.g.a. att det sker en spänningskollaps mellan kontaktytorna så att en ny ljusbåge uppstår vilket bränner sönder kontaktytorna. En lämplig dämpningsmekanism för att försöka förhindra en återstuds av kontakten fordras. Hur detta kan utvärderas m.h.a. en matematisk modell som bygger på en differentialekvation framtagen ur krafterna som verkar på det mekaniska fjädersystemet, för att försöka uppskatta dämpningskoefficient behandlas i denna rapport. Resultatet visar att en oljedämpare med en slaglängd på max 8 mm är bäst lämpad som dämpare av det mekaniska systemet. Detta baseras på de slutsatser som dras av den matematiska modellen ihop med jämförelser av det verkliga rörelsebeteendet hos brytaren. / <p>Programvaran (skript för Matlab/GNU Octave) som utvecklades för detta projekt kan med fördel användas som bas av framtida studenter som eventuellt fortsätter att arbeta med samma ämne hos Hughes Power System AB. Framför allt gränssnittet för in- och utmatning kan återanvändas så att mer tid kan läggas på kärnfrågan. Detta förutsatt att läroverket ifråga godkänner ett sådant förfarande.</p>

The diploma thesis deals with machine learning, expert systems, fuzzy logic, genetic algorithms, neural networks and chaos theory, which fall into the category of artificial intelligence. The aim of this work is to describe and implement three different classification methods, according to which the data set will be processed. The GNU Octave software environment was chosen for the data application for licensing reasons. Further evaluate the success of data classification, including visualization. Three different classification methods are used for comparison, so that we can compare the processed data with each other.

The thesis deals with establishing uncertainties of indirect measurements. It focuses primarily on random number generators in software enabling the calculation of mea-surement uncertainties using Monte Carlo. Then it focuses on the uncertainty calculati-on indirect measurement as the Monte Carlo method and the classical numerical met-hod. The practical part deals with the verification of randomness generators numbers contained in various softwares. It also deals with the determination of uncertainties indi-rect current measurements by both above-mentioned methods and then comparing and evaluating the values achieved.