Szczegóły publikacji
Opis bibliograficzny
Fault detection method based on an automated operating envelope during transient states for the large turbomachinery / Tomasz BARSZCZ, Mateusz Zabaryłło // Journal of Vibroengineering ; ISSN 1392-8716. — 2022 — vol. 24 iss. 1, s. 75–90. — Bibliogr. s. 89–90, Abstr. — Publikacja dostępna online od: 2021-12-01. — M. Zabaryłło - afiliacja: GE Power, Elbląg
Autorzy (2)
- AGHBarszcz Tomasz
- Zabaryłło Mateusz
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 139376 |
|---|---|
| Data dodania do BaDAP | 2022-03-07 |
| Tekst źródłowy | URL |
| DOI | 10.21595/jve.2021.22165 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Vibroengineering |
Abstract
In the energy generation business steam powered turbo-generators still play an important role in electrical power generation all over the world. Every facility using steam turbines considers them as the critical machinery. Such machines should be well-maintained, properly handled, and precisely diagnosed in order to achieve the best performance and safety. The most valued data about the technical health are collected during machine's shut-downs and run-ups. These data are more than seldom and hard to assess without expert's knowledge with strong theoretical background and experience. Main novelty of the paper is the automated method for novelty detection of machine's vibration. Most proposed methods apply to smaller machines with rolling bearings, whereas we propose the method for large machines with sliding bearings, which have much different behavior. The application of the method is support of the plant maintenance staff to evaluate deviations of turbo-sets from a healthy state based on the concept which we called the Operating Envelope. The envelope is created based on the data from a vibration sensor during the transient state. In this paper we consider a single vibration sensor and only the first harmonic amplitude of this signal. To set the acceptance limits within which turbo-set's dynamic response will be considered as acceptable, we used the cubic spline interpolation coupled with expert judgement. Beyond these limits the state of the turbo-set is considered as unhealthy, so it is an automated fault detection method. In such a case a machine should be a subject to further and deeper diagnostic analysis. The method was validated on the data from the 13K242 type (a 200 MW class turbine) steam turbine. We also proposed a set of parameters to evaluate the severity of malfunction.