- Tytuł:
- Analysis of vibration signals using short-time analysis and clustering in parameter space for detection of combustion engine state
- Autorzy:
-
Boguś, Piotr
Merkisz, Jerzy - Powiązania:
- https://bibliotekanauki.pl/articles/134160.pdf
- Data publikacji:
- 2019
- Wydawca:
- Polskie Towarzystwo Naukowe Silników Spalinowych
- Tematy:
-
vibration signals
Diesel engine diagnostic
short-time analysis
clustering
sygnały drganiowe
diagnostyka silników wysokoprężnych
analiza krótkoczasowa
klasteryzacja - Opis:
- The paper presents a short-time analysis of the vibration signals for the diagnosis of Diesel engine of combustion locomotive by recognition of different engine states using the clustering technique. The main aim of the researches was to distinguish between different engine states represent different wear extends. The proposed method of vibration signal analysis consists on sliding a time window along signal in time and observing the changes of some given statistical parameters. The set of this parameter values creates a multidimensional parameter space where the time evolution can be observed. For recognition and detection of different engine system states some clustering techniques in the parameter space were performed. The results show the possibility of distinguishing different cluster centers within the parameter space which can be assigning to different engine states represented the states before and after a general repair.
- Źródło:
-
Combustion Engines; 2019, 58, 2; 83-87
2300-9896
2658-1442 - Pojawia się w:
- Combustion Engines
- Dostawca treści:
- Biblioteka Nauki
Artykuł