Health assessment and diagnostics of condition monitoring data is an area that is becoming increasingly important to the advancing industries such as aerospace and making progress in predictive maintenance. Increasing complexity of systems, along with the demand for more reliable rotating mechanism system, has dramatically increased operational difficulties in maintenance applications. However; condition monitoring sensors, the presence of which is increasing in modern systems, can provide an aid to this problem. The development of predictive maintenance methods is an active research area, and it is necessary to monitor data throughout the life cycle to develop successful models. In this study, firstly, a summary of predictive maintenance for rotating mechanism systems is presented, then, the Welch’s method with Fourier transforms is processed to define the stages of degradation. The proposed model has been tested using PRONOSTIA data set from an experimental platform for accelerated degradation tests. The study is a critical preliminary step in the implementation of rotating mechanism failure analysis, estimation and health management technologies. Implementation and results show that the proposed study can be applied to a system-level setting and can effectively predict the wear level of the system in multi-stage long-term cycles.
Publication Date : August 31, 2020
|APA||Bektaş, O . (2020). Kestirimci Bakım İçin Döner Mekanizma Bozulma Eğrisinin Tanımlanması . Avrupa Bilim ve Teknoloji Dergisi , (19) , 420-428 . DOI: 10.31590/ejosat.708257|