Probabilistic Entropy EMD Thresholding for Periodic Fault Signal Enhancement in Rotating Machine

Dang, Jian; Jia, Rong; Wang, Hua; Luo, Xingqi; Chen, Diyi

doi:10.1155/2017/1254310

Cited by 3 publications

(2 citation statements)

References 31 publications

(38 reference statements)

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“…One of the main advantages of this technique is that it is a self-adaptive method, and the decomposition results are derived from the signal itself. Therefore, this method is widely used in the field of rotating machinery denoising research [ 10 , 11 , 12 ]. HHT may be a useful technique to extract the characteristics of non-stationary and non-linear signals.…”

Section: Introductionmentioning

confidence: 99%

Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT

Zhou

Wang

et al. 2023

Sensors

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The vibration signals from rotating machinery are constantly mixed with other noises during the acquisition process, which has a negative impact on the accuracy of signal feature extraction. For vibration signals from rotating machinery, the conventional linear filtering-based denoising method is ineffective. To address this issue, this paper suggests an enhanced signal denoising method based on maximum overlap discrete wavelet packet transform (MODWPT) and variational mode decomposition (VMD). VMD decomposes the vibration signal of rotating machinery to produce a set of intrinsic mode functions (IMFs). By computing the composite weighted entropy (CWE), the phantom IMF component is then removed. In the end, the sensitive component is obtained by computing the value of the degree of difference (DID) after the high-frequency noise component has been decomposed through MODWPT. The denoised signal reconstructs the signal’s intrinsic characteristics as well as the denoised high-frequency IMF component. This technique was used to analyze the simulated and real-world signals of gear faults and it was compared to wavelet threshold denoising (WTD), empirical mode decomposition reconstruction denoising (EMD-RD), and ensemble empirical mode decomposition wavelet threshold denoising (EEMD-WTD). The outcomes demonstrate that this method can accurately extract the signal feature information while filtering out the noise components in the signal.

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Section: Introductionmentioning

confidence: 99%

Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT

Zhou

Wang

et al. 2023

Sensors

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“…However, such methods are prone to signal distortion, delay, and other consequences [2]. In contrast, the noncontact optical measurement technology of machine vision has received an increasing attention due to its advantages, such as high accuracy and intuitiveness [3]. e visual measurement method of laser spot vibration displacement refers to combining the laser and CCD camera, marking the laser spot on the vibration, using the CCD camera to collect the marking laser spot, and performing the corresponding image processing to obtain the vibration displacement of the measured position [4], as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology

et al. 2021

Shock and Vibration

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Because the mine is damp and dark, it is not easy to detect the rigid tank channel’s structural failure directly. Therefore, we judged the tank channel’s surface condition by detecting the magnitude of the vibration displacement of the lifting container. In our study, we used a laser vision system to measure the structural vibration displacement. In order to accurately segment the laser spot information from the vibration image, we proposed an approach that links the relationship between the gray value of the area adjacent to the threshold point and the background’s gray value to the target in the image. We used MCE to evaluate the segmentation effect of threshold segmentation and verified the improved algorithm’s accuracy by detecting the pixel centroid of laser spots. Results show that the improved algorithm in our study has the best threshold segmentation effect, the error classification can be close to 0.0003, and the minimum deviation of the obtained vibration displacement is close to 0.1 pixels, which can realize the accurate extraction of the vibration signal of the vertical shaft tank. The novelty of this method lies in the accurate threshold segmentation and noise reduction processing of the laser speck vibration image under various interference environments in the operation of the mine hoisting system and the accurate acquisition of vibration signals. The research work provides a basis for the accurate evaluation of mechanical faults of automation technology.

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Dynamic characteristic analysis of the piston pump with the valve plate outer dead center damage

Bai,

Tang,

Wang

et al. 2024

AIP Advances

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The piston pump is one of the key components of the hydraulic system. The valve plate, one of the key friction pairs of piston pumps, contributes most to the dynamical stability and operational reliability of the pump. Existing research on the valve plate of the piston pump does not mention the outer dead center (ODC) damage, which is necessary when considering the dynamic characteristics of the piston pump facing failure. This paper establishes a flow area model and a fluid-domain simulation model of the valve plate of the piston pump under normal and damaged conditions. The dynamic characteristics in the pressure and vibration signals under ODC damage are analyzed. A piston pump testing with ODC damage is carried on to verify the proposed models. The simulation and the experimental signals are compared by extracting the fault features of the valve plate ODC damage.

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Probabilistic Entropy EMD Thresholding for Periodic Fault Signal Enhancement in Rotating Machine

Cited by 3 publications

References 31 publications

Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT

Method for Denoising the Vibration Signal of Rotating Machinery through VMD and MODWPT

Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology

Dynamic characteristic analysis of the piston pump with the valve plate outer dead center damage

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