TY - JOUR AU - Enchev, Sergiy AU - Tovkach, Sergiy PY - 2014/07/04 Y2 - 2024/03/29 TI - WAVELET-BASED ALGORITHM FOR DETECTION OF BEARING FAULTS IN A GAS TURBINE ENGINE JF - Proceedings of National Aviation University JA - Proceedings of National Aviation University VL - 59 IS - 2 SE - MODERN AVIATION AND SPACE TEHNOLOGY DO - 10.18372/2306-1472.59.6798 UR - https://jrnl.nau.edu.ua/index.php/visnik/article/view/6798 SP - 88-96 AB - <p class="0"><em>Presented is a gas turbine engine bearing diagnostic system that integrates information from various advanced vibration analysis techniques to achieve robust bearing health state awareness. This paper presents a computational algorithm for identifying power frequency variations and integer harmonics by using wavelet-based transform. The continuous wavelet transform with  the complex Morlet wavelet is adopted to detect the harmonics presented in a power signal. The algorithm based on the discrete stationary wavelet transform is adopted to denoise the wavelet ridges.</em><em></em></p> ER -