Polyphase Order Analysis Based on Convolutional Approach
The condition of rotating machines can be determined by measuring of periodic frequency components in the vibration signal which are directly related to the (typically changing) rotational speed. Classical spectrum analysis with a constant sampling frequency is not an appropriate analysis method bec...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
1999-06-01
|
| Series: | Radioengineering |
| Online Access: | http://www.radioeng.cz/fulltexts/1999/99_02_09.pdf |
| id |
doaj-678db2b82afd4a25a0b865bb4e999e8e |
|---|---|
| record_format |
Article |
| spelling |
doaj-678db2b82afd4a25a0b865bb4e999e8e2020-11-24T23:22:31ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25121999-06-0182Polyphase Order Analysis Based on Convolutional ApproachM. DrutarovskyThe condition of rotating machines can be determined by measuring of periodic frequency components in the vibration signal which are directly related to the (typically changing) rotational speed. Classical spectrum analysis with a constant sampling frequency is not an appropriate analysis method because of spectral smearing. Spectral analysis of vibration signal sampled synchronously with the angle of rotation, known as order analysis, suppress spectral smearing even with variable rotational speed. The paper presents optimised algorithm for polyphase order analysis based on non power of two DFT algorithm efficiently implemented by chirp FFT algorithm. Proposed algorithm decreases complexity of digital resampling algorithm, which is the most complex part of complete spectral order algorithm.www.radioeng.cz/fulltexts/1999/99_02_09.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
M. Drutarovsky |
| spellingShingle |
M. Drutarovsky Polyphase Order Analysis Based on Convolutional Approach Radioengineering |
| author_facet |
M. Drutarovsky |
| author_sort |
M. Drutarovsky |
| title |
Polyphase Order Analysis Based on Convolutional Approach |
| title_short |
Polyphase Order Analysis Based on Convolutional Approach |
| title_full |
Polyphase Order Analysis Based on Convolutional Approach |
| title_fullStr |
Polyphase Order Analysis Based on Convolutional Approach |
| title_full_unstemmed |
Polyphase Order Analysis Based on Convolutional Approach |
| title_sort |
polyphase order analysis based on convolutional approach |
| publisher |
Spolecnost pro radioelektronicke inzenyrstvi |
| series |
Radioengineering |
| issn |
1210-2512 |
| publishDate |
1999-06-01 |
| description |
The condition of rotating machines can be determined by measuring of periodic frequency components in the vibration signal which are directly related to the (typically changing) rotational speed. Classical spectrum analysis with a constant sampling frequency is not an appropriate analysis method because of spectral smearing. Spectral analysis of vibration signal sampled synchronously with the angle of rotation, known as order analysis, suppress spectral smearing even with variable rotational speed. The paper presents optimised algorithm for polyphase order analysis based on non power of two DFT algorithm efficiently implemented by chirp FFT algorithm. Proposed algorithm decreases complexity of digital resampling algorithm, which is the most complex part of complete spectral order algorithm. |
| url |
http://www.radioeng.cz/fulltexts/1999/99_02_09.pdf |
| work_keys_str_mv |
AT mdrutarovsky polyphaseorderanalysisbasedonconvolutionalapproach |
| _version_ |
1725567755184242688 |