Abstract: Disclosed are a condition based preventive maintenance apparatus and method for a large operation system. The condition based preventive maintenance apparatus for a large operation system comprises: a collection part for collecting sensor data from a plurality of sensors installed in a system; a feature extraction part for wavelet-transforming the collected sensor data and extracting an energy spectrum as a feature value; a calculation part for calculating a slope and an intercept of the extracted feature value; and a monitoring part for monitoring whether the system is broken or not using the calculated slope and intercept.

Abstract: An apparatus for predicting a life span of a fuel cell includes a processor configured to collect and store a stack current and a stack voltage of a fuel cell stack, define prediction model equations based on stack currents and stack voltages stored at different time points, correct the prediction model equations based on constant change states of the defined prediction model equations, and generate a life span prediction model by using the corrected prediction model equations, and predict a stack current and a stack voltage of the fuel cell stack after a specific time period based on the generated life span prediction model.

Abstract: Disclosed are a condition based preventive maintenance apparatus and method for a large operation system. The condition based preventive maintenance apparatus for a large operation system comprises: a collection part for collecting sensor data from a plurality of sensors installed in a system; a feature extraction part for wavelet-transforming the collected sensor data and extracting an energy spectrum as a feature value; a calculation part for calculating a slope and an intercept of the extracted feature value; and a monitoring part for monitoring whether the system is broken or not using the calculated slope and intercept.