Development of field data logger for recording mission profile of power converters

Mission profile data provides useful data for a cost effective and reliable design of future power converters. The development of a field data logger using a Raspberry Pi (RBPI) and temperature and humidity sensors is presented. The collected data is analyzed and classified for the purpose of data reduction. Key parameters used in Arrhenius and Coffin-Manson equations are computed continuously using the collected data. In addition the rain-flow cycle count algorithm is implemented to record cyclic temperature variations. The prototype has been installed in an inverter for photovoltaic generation and the collected data are presented here.