Szczegóły publikacji
Opis bibliograficzny
A signal pre-processing algorithm designed for the needs of hardware implementation of neural classifiers used in condition monitoring / Dariusz Dabrowski, Zahra HASHEMIYAN, Jan Adamczyk // Measurement ; ISSN 0263-2241. — 2015 — vol. 73, s. 576–587. — Bibliogr. s. 586–587, Abstr.
Autorzy (3)
- Dabrowski Dariusz
- AGHHashemiyan Zahra
- Adamczyk Jan
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 93172 |
|---|---|
| Data dodania do BaDAP | 2015-10-02 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.measurement.2015.06.004 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Measurement |
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. (C) 2015 Elsevier Ltd. All rights reserved.
