The Use of Signal Intensity Estimator for Monitoring Real World Non-stationary Data

Robustness and operational reliability are some advantages that present rotating machine components as inevitable parts of most mechanical engineering systems. To keep rotating machines function at optimal conditions, control and maintenance of machine components must well be applied. Improper analysis of high modulated non-stationary data, acquired from machine components (e.g. gears and bearings) may lead to complete machine break. Despite the body of research work, available through the literature, most of existing condition monitoring (CM) methods proved to be inefficient for real world applications. Hence, this would still suggest an obvious need for fundamental modifications and/or development of new CM techniques. Here we aim to tackle this issue by proposing Signal Intensity Estimator (SIE) as an alternative technique, tailored to the task for monitoring of high modulated data. Our main interest lies with the introduction of the idea behind the SIE method and its previous successful applications for monitoring Suzlon and Repower (Wind Energy Companies) wind machines.