Journal
MEASUREMENT
Volume 169, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2020.108523
Keywords
Fault diagnosis; Time-frequency analysis; Rub-impact; Rotating machinery; Chirplet transform
Funding
- National Natural Science Foundation of China [52075470, 61873227]
- Natural Science Foundation of Hebei Province [E2019203448]
- Central government guides local science and technology development Foundation [206Z4301G]
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The rub-impact fault between the rotor and the stator surface is a common and serious issue in rotating machinery, and the proposed method can effectively identify and process the vibration signals caused by this fault. By utilizing instantaneous frequency transformation and kurtosis analysis, a method for concentrating time-frequency representation is presented.
The rub-impact fault between the rotor and the stator surface is a common and serious failure in rotating machinery. The vibration signals acquired during the rotating machinery operation will carry the time-varying characteristics of rapid fluctuating instantaneous frequency (IF) when the healthy condition of rotor system changes. The proposed method is termed as the general synchroextracting chirplet transform which is based on the classical chirplet transform and employs the second-order synchroextracting transform to concentrate the time-frequency representation (TFR). Moreover, an adaptive demodulation parameters determination method based on kurtosis is proposed. The proposed method is non-sensitivity to noise, allows for signal reconstruction, and retains certain processing ability for multicomponent signals. The effectiveness and practical value of the method are verified by the numerical signals and the vibration signals of the heavy oil catalytic cracking machine which has the rotor rub-impact fault.
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