| 1. |
- Karlsson, Beatrice, et al.
(författare)
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A fusion toolbox for sensor data fusion in industrial recycling
- 2002
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Ingår i: IEEE Transactions on Instrumentation and Measurement. - : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9456 .- 1557-9662. ; 51:1, s. 144-149
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Tidskriftsartikel (refereegranskat)abstract
- Information from different sensors can be fused in various ways. It is often difficult to choose the most suitable method for solving a fusion problem. In a measurement situation, the measured signal is often corrupted by disturbances (noise, etc.). It is, therefore, meaningless to compare crisp values without the corresponding uncertainty intervals. This paper describes a toolbox including nine different fusing methods. All methods are applied on training data, and the most suitable method is then used for solving the real fusion problem. In the example, fusion is performed on data for classification in an industrial recycling operation. The data is from different vision systems and an eddy current system. The fusion methods included in the toolbox are fuzzy logic with triangular and Gaussian shaped membership functions, fuzzy measures with triangular and Gaussian shapes, Bayes' statistics, artificial neural networks, multivariate analysis (PCA), a knowledge-based system, and a neuro-fuzzy system.
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| 2. |
- Karlsson, B, et al.
(författare)
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Recycling of electrical motors by automatic disassembly
- 2000
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Ingår i: Measurement science and technology. - 0957-0233 .- 1361-6501. ; 11:4, s. 350-357
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a robotized workstation for end-of-life treatment of electrical motors with an electrical effect of about 1 kW. These motors can. for example, be found in washing machines and in industry. There are two main steps in the work. The first step is an inspection whereby the functionality of the motor is checked and classification either for re-use or for disassembly is done. In the second step the motors classified for disassembly are disassembled in a robotized automatic station. In the initial step measurements art, performed during a start-up sequence of about 1 s. By measuring the rotation speed and the current and voltage of the three phases of the motor classification for either reuse or disassembly can be done. During the disassembly work, vision data are fused in order to classify the motors according to their type. The vision system also feeds the control system of the robot with various object co-ordinates, to facilitate correct operation of the robot. Finally, tests with a vision system and eddy-current equipment are performed to decide whether all copper has been removed from the stator.
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| 3. |
- Poksinski, Michal, et al.
(författare)
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Total internal reflection ellipsometry
- 2000
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Ingår i: Eurosensors XIV: The 14th European Conference on Solid-State Transducers : Book of Abstracts. - : MIC. - 8789935519 ; , s. 239-242
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Konferensbidrag (refereegranskat)abstract
- A new measurement technique combining ellipsometry and total internal reflection is presented. This technique is called total internal reflection ellipsometry and opens new possibilities for measuring adsorption on metalsurfaces. Very promising results from protein adsorption on a gold surface are presented. Also a schematic design of the instrument used in total internal reflection ellipsometry is included. The main advantage compared to normal ellipsometry is that measurements can be done in opaque ambients because of total internal reflection.
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