For predictive maintenance of offshore plant equipment that academic knowledge Tue fault type of data through teaching and automatically improves the reliability of predictive maintenance techniques based on it to predictive maintenance performance of marine plants, including offshore drilling, drilling equipment It discloses with respect to academic failure type management apparatus and method. According to one embodiment of the invention, information data regarding the marine plant equipment is collected in real-time and management, and data collection apparatus for managing and monitoring the information data and transmitting the information data, transmitted from the management and data acquisition device the divided signal patterns based on the information data, and the data analysis device is the normal state or the fault condition data is determined and output from the distinct signal pattern, a normal state or a fault condition data is entered by type output from the data analysis unit storage is provided for academic failure type management apparatus and its method for predictive maintenance of offshore plant equipment comprising the data storage device is the normal state or the fault condition data is accumulated over time, stored as the reliable data in do.
The present invention also provides a calibration device for mapping the data of the data stored in the marine plant manual input device and a data storage device for receiving the signal pattern whether a failure condition or normal condition from the operator.