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    Radial basis and LVQ neural network algorithm for real-time fault diagnosis of bottle filling plant
    (Univ Osijek, Tech Fac, 2014) Demetgül, Mustafa; Yazıcıoğlu, Osman; Kentli, Aykut
    In this study, an Artificial Neural Network (ANN) is developed to find faults rapidly on a pneumatic system. The data were saved and evaluated considering system is working perfectly and faults are predetermined. These faults include having no bottle, a nonworking cap closing cylinder B, a nonworking bottle cap closing cylinder C, insufficient air pressure, water not filling and low air pressure faults. The signals of six sensors were collected during the entire sequence and the 18 most descriptive features of the data were encoded to present to the ANNs. Two different ANNs were applied for interpretation of the encoded signals. The ANNs tested in the study were learning vector quantization (LVQ) and radial basis network (RBN). The performance of LVQ and RBN was found to be fine with the presented procedures for a system having very repetitive sequential data.
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    Robust Multiobjective Optimization Of Cutting Parameters In Face Milling
    (Budapest Tech, 2012) Aykut, Seref; Kentli, Aykut; Gulmez, Servet; Yazicioglu, Osman
    In this paper, a new multiobjective optimization approach is proposed for the selection of the optimal values for cutting conditions in the face milling of cobalt-based alloys. This approach aims to handle the possible manufacturing errors in the design stage. These errors are taken into consideration as a change in design parameter, and the design most robust to change is selected as the optimum design. Experiments on a cobalt-based superalloy were performed to investigate the effect of cutting speed, feed rate and cutting depth on the cutting forces under dry conditions. Material removal rate values were also obtained. Minimizing cutting forces and maximizing the material removal were considered as objectives. It is believed that the used method provides a robust way of looking at the optimum parameter selection problems.