1. A signal pre-processing algorithm designed for the needs of hardware implementation of neural classifiers used in condition monitoring.
- Author
-
Dabrowski, Dariusz, Hashemiyan, Zahra, and Adamczyk, Jan
- Subjects
- *
ALGORITHMS , *ARTIFICIAL neural networks , *GEARBOXES , *POWER transmission , *EXCAVATING machinery - Abstract
Gearboxes have a significant influence on the durability and reliability of a power transmission system. Currently, extensive research studies are being carried out to increase the reliability of gearboxes working in the energy industry, especially with a focus on planetary gears in wind turbines and bucket wheel excavators. In this paper, a signal pre-processing algorithm designed for condition monitoring of planetary gears working in non-stationary operation is presented. The algorithm is dedicated for hardware implementation on Field Programmable Gate Arrays (FPGAs). The purpose of the algorithm is to estimate the features of a vibration signal that are related to failures, e.g. misalignment and unbalance. These features can serve as the components of an input vector for a neural classifier. The approach proposed here has several important benefits: it is resistant to small speed fluctuations up to 7%, it can be performed in real-time conditions and its implementation does not require many resources of FPGAs. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF