Doppler Correction Using Short-Time MUSIC and Angle Interpolation Resampling for Wayside Acoustic Defective Bearing Diagnosis

Zhang, Shangbin; He, Qingbo; Zhang, Haibin; Ouyang, Kesai

doi:10.1109/tim.2017.2650718

Cited by 22 publications

(10 citation statements)

References 31 publications

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“…Afterwards, microphone arrays have been also introduced to eliminate the Doppler distortion in the acquired signal by the wayside ADBD system. 26,33 The procedure is displayed in detail in Figure 2. Firstly, the obtained array is decomposed into a series of array segments by a sliding window with a constant window length ( D + 1).…”

Section: Doppler Elimination Based On Microphone Arraymentioning

confidence: 99%

“…Just as aforementioned, there exists some source localization strategies based on microphone array signal processing techniques, like the ST-MUSIC method. 26 However, the reported method only works when the number of key acoustic sources is estimated accurately in a relative high SNR case. Besides, the localization accuracy and resolution grow worse rapidly with the decreasing of SNR.…”

Section: Doppler Elimination Based On Microphone Arraymentioning

confidence: 99%

“…Different choices of the step and length would result in various positioning precision. The corresponding choice of the sliding window length can be written as follows to ensure that the narrow band signal assumption can be satisfied in the presence of the decomposed output array segments 26 where f stands for the maximum interested frequency in the original source.…”

Section: Principle Of the Proposed St-ssvd Strategymentioning

confidence: 99%

“…Recently, Zhang et al. 26 proposed a short-time MUSIC to eliminate the Doppler distortion in the wayside acquired signals. However, the localization accuracy of MUSIC suffers various degrees of distortion with a low signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

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Doppler distortion elimination using short-time sparse singular value decomposition strategy for wayside acoustic source fault diagnosis

Ouyang

Xiong

Liu³

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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With the rapid development of transportation, wayside condition monitoring and fault diagnosis of key acoustic sources has attracted considerable attentions because of low cost and high efficiency. However, serious Doppler distortion exists in the wayside acquired signals when the monitored moving source passes by the system at high velocity, which makes it difficult for condition monitoring and fault diagnosis. This paper presents a novel method involving short-time sparse singular value decomposition to eliminate Doppler distortion in the wayside acquired signals based on a microphone array. The procedure of the proposed short-time sparse singular value decomposition is performed as follows. First, the Doppler distorted array signals are decomposed into a series of array segments by a sliding window with a proper window length. Afterwards, the time-varying direction of arrival of the corresponding array segments is acquired by individual sparse singular value decomposition. Then the fitting time-varying directions of arrival and time-domain interpolation resampling are employed to correct the Doppler distorted signals for recovering the objective characteristic frequency. Simulation analysis has validated that under heavy background noise situation, better localization accuracy and effectiveness of the proposed short-time sparse singular value decomposition could be achieved in comparison with other strategies like short-time multiple signal classification. Besides, the real data cases have verified the effectiveness of the proposed method, which shows great potential applications in wayside condition monitoring and fault diagnosis system for moving vehicles, trains, planes, etc.

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Section: Doppler Elimination Based On Microphone Arraymentioning

confidence: 99%

Section: Doppler Elimination Based On Microphone Arraymentioning

confidence: 99%

Section: Principle Of the Proposed St-ssvd Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Doppler distortion elimination using short-time sparse singular value decomposition strategy for wayside acoustic source fault diagnosis

Ouyang

Xiong

Liu³

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

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show abstract

“…Vibration and acoustic signal analyses are commonly used techniques for bearing fault diagnosis since the local defect at a certain location induces a specific Fault Characteristic Frequency (FCF) to the signal and the FCF is proportional to the rotational frequency [1]. Based on this knowledge, bearing fault diagnosis under constant rotational speed condition has been widely investigated [[2], [3], [4], [5], [6], [7], [8]]. However, bearings often operate under time-varying speed conditions which results in a time-varying FCF.…”

Section: Introductionmentioning

confidence: 99%