A Special Analysis of Significant Phenomena in Diagnostic Signal at Compressors Measurement

@article{29962,
   author = {Stejskal, Tomáš and Valencik, Stefan and Kmec, Ján and Kučerka, Daniel and Bičejová, L'uba},
   article_location = {Switzerland},
   article_number = {669},
   doi = {http://dx.doi.org/10.4028/www.scientific.net/KEM.669.373},
   keywords = {Analysis; Diagnostic Signal; Compressors},
   language = {eng},
   issn = {1013-9826},
   journal = {Key Engineering Materials},
   title = {A Special Analysis of Significant Phenomena in Diagnostic Signal at Compressors Measurement},
   volume = {Neuveden},
   year = {2016}
}

TY  - JOUR
ID  - 29962
AU  - Stejskal, Tomáš - Valencik, Stefan - Kmec, Ján - Kučerka, Daniel - Bičejová, L'uba
PY  - 2016
TI  - A Special Analysis of Significant Phenomena in Diagnostic Signal at Compressors Measurement
JF  - Key Engineering Materials
VL  - Neuveden
IS  - 669
SP  - 373-381
EP  - 373-381
PB  - Trans Tech Publications
SN  - 10139826
KW  - Analysis
KW  - Diagnostic Signal
KW  - Compressors
N2  - The article deals with a special analysis of a random vibration signal received from working process. In principle, only time intervals between random phenomena whose summit values exceed the given limit are measured. Theoretically, phenomena stochastic distribution approximates to exponential distribution. The chart analysis of real distribution reveals characteristic features which help to recognize various technical states.
ER  - 

STEJSKAL, Tomáš, Stefan VALENCIK, Ján KMEC, Daniel KUČERKA a L'uba BIČEJOVÁ. A Special Analysis of Significant Phenomena in Diagnostic Signal at Compressors Measurement. \textit{Key Engineering Materials}. Switzerland: Trans Tech Publications, Neuveden, č.~669, s.~373-381. ISSN~1013-9826. doi:10.4028/www.scientific.net/KEM.669.373. 2016.