Not available / text

Not available / text

Not available / text

Not available / text

Not available / text

No description available.

The major focus of the research project is to use infrared sensors associated with virtual sensors to measure the temperature of the heated plastic sheet in a thermoforming oven. In this work, we designed a sensor system to correctly and efficiently measure plastic sheet temperature and reduce the cost of instrumentation. The thesis consists of three parts. The first part is to optimally distribute IR sensors and virtual sensors in order to minimize the number of IR sensor and keep an acceptable accuracy on estimation of virtual sensors under the design constrain. Since IR sensor measurements may be inaccurate due to physical faults during the process, the second part is the sensor faults detection and isolation (FDI) to automatically detect and isolate the faulty sensors. In most situations the faulty sensors cannot be fixed immediately during process or production. Therefore, the last part is to use virtual sensors to replace the faulty IR sensors in order to keep production going. / The thesis project continues the work at the Industrial Automation Lab on sheet reheat phase in thermoforming. While the system model was changed into a larger scale, the modeling methodology and linearization assumption are the same as the previous work, which were verified. As a result, the system model and linearized model can be considered as valid. / As the whole project is only based on simulation, the measurement errors may become larger for the practical application.

No description available.

No description available.

No description available.