Comparative analysis of Hilbert Huang and discrete wavelet transform in processing of signals obtained from the cutting process: An intermittent turning example
Nonstationary signal analysis is one of the greatest challenges in studying and control of dynamical processes. Cutting process is extremely dynamical process influenced by different phenomena such as chip formation, dynamical responses and conditions of machining system elements. The most commonly...
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| Format: | Article |
| Language: | English |
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2013-01-01
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| Series: | FME Transactions |
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| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2013/1451-20921304342J.pdf |
| Summary: | Nonstationary signal analysis is one of the greatest challenges in studying and control of dynamical processes. Cutting process is extremely dynamical process influenced by different phenomena such as chip formation, dynamical responses and conditions of machining system elements. The most commonly used Short Time Fourier Transform and spectrogram as its result have significant shortcomings in processing of signals acquired from dynamical systems. Two relatively new techniques that have notably better properties in the analysis of nonstationary signals are Hilbert Huang Transform (HHT) and Discrete Wavelet Transform (DWT). This paper gives comparative survey of HHT and DWT with the intention of giving the guidelines for deciding which of these techniques is the technique of choice for the analysis of signals obtained from cutting process, considering the desired outcomes of the analysis. Besides brief mathematical foundations of the transforms, the paper illustrates their utilization using two examples, one is numerical, and the other is experimental dealing with detection of cutting process stop during intermittent turning. |
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| ISSN: | 1451-2092 2406-128X |