2016
DOI: 10.1016/j.proeng.2016.05.077
|View full text |Cite
|
Sign up to set email alerts
|

Vibration Environment and the Rockets

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 3 publications
0
1
0
Order By: Relevance
“…In addition, researchers also conducted a series of experiments using engine vibration signal [46,47], adaptive correlation algorithm [48], frequency band peak ratio [49,50], characteristic frequency band root mean square value [51], and principal component analysisbased extraction of eigenvectors. Fault detection approaches using signal processing are studied, such as binary time series analysis of phase plane trajectory [52,53], sliding time window principal component analysis [54], fast Fourier transform [55], etc.…”
Section: Other Approaches Using Signal Processingmentioning
confidence: 99%
“…In addition, researchers also conducted a series of experiments using engine vibration signal [46,47], adaptive correlation algorithm [48], frequency band peak ratio [49,50], characteristic frequency band root mean square value [51], and principal component analysisbased extraction of eigenvectors. Fault detection approaches using signal processing are studied, such as binary time series analysis of phase plane trajectory [52,53], sliding time window principal component analysis [54], fast Fourier transform [55], etc.…”
Section: Other Approaches Using Signal Processingmentioning
confidence: 99%