@inproceedings{0743acda36564a068ecacb2a1e9f8b86,
title = "Application of non filtering analytic wavelet transform for the investigation of rotating stall inception in low speed compressor",
abstract = "Rotating stall inception in low speed axial compressor is experimentally investigated by using temporal casing pressure signals from the circumferentially distributed pressure transducers. At first, fundamental technique of visual inspection is implemented by the application of series of low pass frequency filters. Only small filter ranges reveal rotating stall disturbance, each exhibiting different rotating speed of stall disturbance and stall cell. Results are highly dependent on filter size, which found to be a critical limitation. In the next step, results of filtered signals are compared by using a newly developed non-filtering AWT program. AWT offers a beneficial tool for providing rotating stall inception information without employing any pre-filtering limitation. One-step execution technique with features of FFT and wavelet transform, AWT successfully verified the results from the filtered signals obtained after the application of different filter ranges. Verification of filtered signal results with AWT can be a useful approach in stall inception study.",
keywords = "compressor, filter range, non-filtering, stall inception, wavelet transform",
author = "Ali Arshad and Qiushi Li and Tianyu Pan",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Mechanical and Aerospace Engineering, ICMAE 2016 ; Conference date: 18-07-2016 Through 20-07-2016",
year = "2016",
month = aug,
day = "23",
doi = "10.1109/ICMAE.2016.7549582",
language = "英语",
series = "Proceedings of 2016 7th International Conference on Mechanical and Aerospace Engineering, ICMAE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "448--453",
booktitle = "Proceedings of 2016 7th International Conference on Mechanical and Aerospace Engineering, ICMAE 2016",
address = "美国",
}