Load cell design and construct with fault detection by Probabilistic Neural Network

In this study a strain gage load cell as a S model has been designed which is used for measuring weight of elevator. Four methods of fixing and balancing Whetstone Bridge were considered and one way was achieved eventually which was given the best Whetstone Bridge´s output. For amplifying and measuring of changing resistance and voltage in Whetstone Bridge four current ways of amplifying and measuring were applied and with doing some modification in one of them construction of the main model was made. In this way microcontroller from the AVR family was applied for sampling of analog signal and also monitoring weight. Finally with using of Probabilistic Neural Network fault detection at zero level was carried out hence, safety of system was increased.